ScholarWorks@Korea University: Ahn, Choon ki

Detailed Information

Ahn, Choon ki (안춘기)

College of Engineering (School of Electrical Engineering)

Research Area

Tel 02-3290-4831
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

state estimation:19||Switches:14||robustness:14||Nonlinear systems:14||Control systems:13||Adaptive systems:13||Stability analysis:12||disturbance observer:12||Observers:11||Uncertainty:11||Convergence:11||Topology:11||Multiagent systems:11||nonlinear systems:11||Delays:10||Heuristic algorithms:10||Linear matrix inequality (LMI):10||Synchronization:10||Lyapunov methods:9||Backstepping:9||Nonlinear dynamical systems:9||Robustness:9||Artificial neural networks:9||linear matrix inequality (LMI):9||Actuators:9||Kalman filter (KF):8||Circuits and systems:8||sampleddata control:8||Asymptotic stability:8||Protocols:8||Vehicle dynamics:7||polezero cancellation:7||Mathematical model:7||Cutoff frequency:7||Closed loop systems:7||Digital filter:7||Disturbance observers:7||Estimation:6||switched systems:6||Vibrations:6||performance recovery:6||eventtriggered control:6||Sliding mode control:6||State estimation:6||selftuner:6||vibration control:6||multiagent systems:6||Finite impulse response (FIR) filter:6||input saturation:6||state feedback:6||Fuzzy control:5||Delay effects:5||Kalman filter:5||Symmetric matrices:5||Adaptive control:5||twodimensional (2D) digital filter:5||Boundary control:5||Adaptive fuzzy control:5||finite impulse response (FIR) filter:5||Stochastic processes:5||Decentralized control:5||Laplace equations:5||Kalman filters:4||Target tracking:4||finite impulse response:4||Neural networks:4||Attitude control:4||Damping:4||Quantization (signal):4||Hinfinity performance:4||asymptotic stability:4||stability analysis:4||output feedback:4||largescale systems:4||disturbance observer (DOB):4||eventtriggered control (ETC):4||Aerospace electronics:4||TakagiSugeno fuzzy model:4||Transient analysis:4||Finite wordlength effects:4||active damping:4||unbiased FIR filter:4||Timevarying systems:4||Torque:4||autotuner:4||reactiondiffusion terms:4||Wheels:4||Switched systems:4||Consensus protocol:4||Timevarying delay:4||Synchronous motors:3||stability:3||switching topology:3||unbiased finite impulse response (FIR) filter:3||Aerodynamics:3||unbiased finite impulse response (UFIR) filter:3||Robots:3||Indexes:3||control system synthesis:3||deadbeat property:3||Manifolds:3||Rotors:3||Mobile robots:3||Mechatronics:3||Hinfinity filtering:3||Markov processes:3||Faulttolerant control:3||Digital filters:3||Finite wordlength effect:3||Consensus:3||Consensus control:3||Deadbeat property:3||switched nonlinear systems:3||IEEE transactions:3||Finitetime boundedness:3||DC motors:3||observer:3||Sensors:3||unbiasedness:3||nonlinear control systems:3||Angular velocity:3||Disturbance observer (DOB):3||output feedback control:3||Hinfinity control:3||Fault tolerance:3||Navigation:3||Switching systems:3||Estimation error:3||Quadcopters:3||Voltage control:3||Digital phaselocked loop (DPLL):3||Roesser model:3||System dynamics:3||Fault tolerant systems:3||Fuzzy logic:3||boundary control:3||onesided Lipschitz nonlinearity:3||Leaderfollowing consensus:3||Activedamping:2||Backstepping control:2||Discretetime systems:2||quadcopters:2||DC:2||Markov jump system (MJS):2||passivity:2||digital filters:2||Trajectory tracking:2||Wireless sensor networks:2||Location awareness:2||Trajectory:2||Eventtriggered control (ETC):2||Active damping injection:2||disturbance observer (DO):2||Noise measurement:2||nonlinear multiagent systems:2||Actuator saturation:2||delays:2||Markovian jump parameters:2||adaptive control:2||Visual object tracking:2||generalized dissipativity:2||Cost monotonicity:2||observers:2||PD control:2||Antidisturbance control:2||Regulation:2||Adaptation models:2||unmanned surface vehicle:2||closed loop systems:2||Current measurement:2||Electrical engineering:2||Tuning:2||timedelay systems:2||unmodeled dynamics:2||TakagiSugeno (TS) fuzzy systems:2||TakagiSugeno fuzzy systems:2||Linear matrix inequality:2||TakagiSugeno (TS) fuzzy model:2||Frequency control:2||eventtriggered scheme:2||Interconnected systems:2||faulttolerant control:2||angular velocity observer:2||inconsistent Markov chains:2||onesided Lipschitz systems:2||robust control:2||Oscillators:2||Vibration control:2||FIR filters:2||Robot sensing systems:2||quadratic innerboundedness:2||interval timevarying delay:2||(Q, S, R)alphadissipativity:2||indoor localization:2||FornasiniMarchesini local statespace (FMLSS) model:2||Hinfinity criterion:2||Output feedback:2||#8211:2||interconnected system:2||decentralized control:2||Resistance:2||switched TakagiSugeno (TS) fuzzy system:2||Graph theory:2||Frobenius norm:2||Lyapunov function:2||Realtime systems:2||learning algorithm:2||Stepper motor:2||discrete time systems:2||Markov jump systems:2||Prescribed performance control:2||quantization:2||linear matrix inequalities:2||tracking control:2||selftuning algorithm:2||Distributed filtering:2||timevarying delay:2||continuous time:2||wireless sensor network (WSN):2||Wiener process noise:2||Proteins:2||Gain:2||multiagents:2||Covariance matrices:2||target tracking:2||Nonlinear system:2||Two dimensional displays:2||Local stability:2||saturation:2||2D filter:2||exponential stability:2||finite impulse response (FIR) structure:2||Numerical models:2||spacedividing:2||unknown control directions:2||Fuzzy systems:2||Smoothing methods:2||Velocity control:2||input constraints:2||feedback:2||Acceleration:2||stochastic systems:2||Twowheeled balancing robot:2||fuzzy systems:2||backstepping:2||multiagent system (MAS):2||TakagiSugeno (TS) fuzzy system:2||dissipative filtering:2||Input/outputtostate stability (IOSS):2||Stochastic systems:2||fault detection:2||disturbance:2||Circuit stability:2||position control:2||hidden Markov model (HMM):2||Hinfinity filter:2||state constraints:2||fractionalorder system:2||stochastic reliable control:2||Nussbaum function:2||generalized neural networks (GNNs):2||External interference:2||Receding horizon:2||Twodimensional (2D) system:2||Largescale systems:2||Finite impulse response smoothing:1||fixedlag smoothing:1||Filtering:1||Ito&apos:1||stochastic disturbances:1||Zeno behavior:1||position measurement:1||Compact set:1||Twodimensional systems:1||discretetime statespace models:1||unbiased finite impulse response filter:1||antisaturation control:1||Cutoff frequency adaptation:1||Sampleddata control:1||Consensus tracking:1||Fixedtime control:1||Fault estimation (FE):1||Actuator failure:1||adaptive eventtriggered mechanism:1||fuzzy dynamic output feedback control:1||networked control systems (NCSs):1||Nonstrictfeedback nonlinear system:1||timevarying systems:1||integral equations:1||double II:1||complex dynamical networks (CDNs):1||Indoor human navigation:1||Fractionalorder systems:1||mml:msub>:1||Legendre polynomial:1||robust stabilization:1||Exponential passivity:1||Lipschitz function:1||Discretetime neural networks (DNNs):1||Unmodeled dynamics:1||parametric normbounded uncertainty:1||relative state feedback:1||Induced l(infinity) performance:1||Finite measurement:1||Autonomous underwater vehicle (AUV):1||nonlinear filters:1||fourtank benchmark:1||Strict passivity:1||small gain approach:1||regional control strategy:1||Active suspension system:1||variable structure systems:1||actuators:1||fault tolerant control:1||uniform ultimately bounded closedloop system:1||Stochastic neural networks:1||Finite impulse response tracker:1||Feedback interconnection:1||disturbance attenuation:1||Markov jump linear system (MJLS):1||Truetarget decision making:1||Expected power bound (EPB):1||Roesser form:1||Inverse partitioned matrix:1||Twodimensional digital filters:1||inputtostate stability (ISS):1||invariance principle:1||Markovian reactiondiffusion memristive neural networks (MNNs):1||reinforcement earningbased control:1||unknown deadzone input nonlinearities:1||unmanned surface vehicle (USV):1||predefinedtime control:1||uncertain nonlinear multiagent systems:1||Technological innovation:1||Intermittent control:1||Finitetime dissipative synchronization:1||neural network (NN):1||timevarying output constraints:1||Distributed model predictive control (DMPC):1||Hoses:1||flexible hose:1||Extraterrestrial measurements:1||Containment control (CC):1||multiagents:1||DC/DC boost converter:1||exponential peaktopeak norm performance:1||Aerospace navigation system:1||Control scheme:1||Unmanned aerial vehicles:1||Multistage noise shaping:1||Lipschitz nonlinearity:1||robust adaptive consensus:1||cooperative control:1||Robot kinematics:1||Markovian nonlinear INNs:1||obstacle avoidance:1||Switching topologies:1||BLDC:1||SemiMarkovian switching:1||buck converter:1||variable convergence:1||Automation:1||Cybernetics:1||Conservatism:1||Almost sure exponential consensus (ASEC):1||timevarying learning intensity:1||Path planning:1||Splines (mathematics):1||integral quadratic constraint (IQC):1||pseudoPID slidingmode control (SMC):1||Nonlinear multiagent systems:1||twosided loopedfunctional:1||eventtriggered mechanism (ETM):1||relaxed stability condition:1||stochastic cyberattacks:1||Simulation:1||command filter:1||unknown measurement sensitivity:1||simplified backstepping approach:1||KullbackLeibler divergence:1||timevarying damping term:1||Printing:1||printing system:1||periodically intermittent control:1||Containment control:1||formation control:1||nonlinear magnetic levitation systems:1||regulation error integral actions:1||activedamping injection technique:1||position regulation:1||Surges:1||Unbiased FIR filter:1||coloured measurement noise:1||saturation arithmetic:1||Task analysis:1||Monitoring:1||Inference algorithms:1||Lyapunov direct method:1||Timoshenko manipulator:1||variational inference:1||Computational efficiency:1||Asynchronization:1||hidden Markov model:1||multiagent systems (MASs):1||static output feedback:1||speed control:1||Invariant dynamic surface:1||linear retarded system:1||INS/UWB model:1||prediction:1||Mixed <:1||Statespace:1||Dissipativity learning:1||edgebased protocol:1||Linear parameter varying (LPV):1||L2 gain:1||Aperiodic adaptive eventtriggered (AET) scheme:1||weighted summation inequality:1||Nonlocality:1||Switched linear system:1||correlated noise:1||fixed point arithmetic:1||Actuator fault model:1||Tracking control:1||ultrawidebandbased scheme:1||probabilistic weights:1||Inertial navigation system (INS):1||robust estimator:1||dynamic outputfeedback control:1||Composite particle/finite impulse response (FIR) filter (CPFF):1||predictive filtering:1||missing data:1||finiteimpulse response (FIR):1||Object detection:1||optimal memory size:1||Interconnection:1||deadbeat property:1||l(infinity)gain performance:1||Horizon group shift (HGS):1||Selfrecovering extended Kalman filter (SREKF):1||Multitarget FIR tracking algorithm (MTFTA):1||Optimal unbiased finite memory filter (OUFMF):1||Control and filtering:1||twodimensional (2D) system:1||Unified framework:1||Neurofuzzy system:1||finite word length effects:1||Passive filter:1||TakagiSugeno fuzzy Hopfield neural networks:1||CIS:1||Canonical BesselLegendre (BL) inequality:1||timevarying memorybased controller:1||multiagent systems and containment control:1||variational Bayesian (VB) approach:1||Power conversion:1||DC boost power conversion system:1||Dualmode deadbeat H2 FIR filter:1||H2 Filter:1||quantized control:1||Acceleration observer:1||wireless sensor network:1||fuzzy logic systems (FLSs):1||Dynamic eventtriggered control:1||consensus:1||highorder stochastic systems:1||MIMO communication:1||Attitudestabilizing control:1||Standards:1||secret communication:1||dynamic window approach:1||finite memory filter:1||Adaptive memory eventtriggered mechanism (AMETM):1||nonlinear multiagent systems (MASs):1||Integral quadratic constraints (IQCs):1||Attitude tracking control:1||Monte Carlo methods:1||Polezero cancellation:1||Adaptive neuralnetwork (NN) control:1||Adaptive eventtriggered (AET) mechanism:1||Aircraft:1||Memoryeventtriggered scheme:1||speedtracking:1||Switched mode power supplies:1||sojourntime (ST):1||permanent magnet synchronous motor (PMSM):1||Learning observer:1||Stability criteria:1||Positive system:1||prescribed performance control:1||finitetime disturbance observer:1||fuzzy control:1||Asymmetric nonlinear actuator saturation (ANAS):1||Costs:1||Process control:1||adaptive asymptotic tracking:1||speed regulation:1||Extended modedependent average dwelltime:1||Angle filtering:1||discretetime observations:1||unknown model nonlinearity:1||Marine vehicles:1||Finitetime path following (FPF):1||hyperbolictangent LOS (HLOS) guidance:1||onestep time delay:1||Antidisturbance control:1||State and fault estimation:1||Least squares:1||object tracking:1||KF algorithms:1||feedback control:1||overflow oscillation:1||Particle measurements:1||fault detection and isolation:1||unscented Kalman filter (UKF):1||Performance analysis:1||Prototypes:1||Distributed control:1||faulttolerant resilient control:1||observer design:1||missing measurement:1||packet dropouts:1||controller gain fluctuations:1||dynamic robust nonlinear controller:1||integral quadratic terms:1||existing inequalities:1||robust estimation:1||equivalentinputdisturbance:1||performancerecovery property:1||and passivity performance:1||distributive and adaptive protocol:1||Reciprocally convex inequality:1||exponential stabilization:1||Max:1||Onesided Lipschitz condition:1||robust antiwindup compensator(AWC):1||Finite word length:1||saturation overflow:1||external interferences:1||filtering:1||receding horizon:1||UWBrange robot localisation:1||extended Kalman filter:1||Dynamic mechanical system:1||maximum likelihood (ML):1||blind operation:1||Nonlinear digital systems:1||l(2)l(8) filtering:1||nonstrictfeedback system:1||dynamic parallel distributed compensation (DPDC):1||iterative algorithm:1||reduced order systems:1||discretetime nonlinear systems:1||Visual object tracking (VOT):1||Statemultiplicative noisy system:1||switching extensible FIR filter bank (SEFFB):1||timevarying input delay:1||Indoor localization:1||ANFISbased FIR filter and OF arbitration (AFOA):1||Hybrid particle/finite impulse response (FIR) filter:1||hybrid regularized particle/extended unbiased finite impulse response (RP/EFIR) filter:1||Preceding vehicle tracking:1||Finite memory tracker (FMT):1||Statenorm estimator:1||Nonlinear filter:1||Passivity criterion:1||Linear differential inclusion (LDI):1||Finite impulse response (FIR) structure:1||Exponential filter:1||Memristors:1||Nonhomogeneous media:1||optimal tracking control:1||Bipartite consensus:1||output feedback controllers:1||stochastic finitetime stability:1||Biological neural networks:1||Finite time:1||nonlinear largescale systems:1||logarithm quantization:1||distributed parameter system (DPE):1||proportional&:1||command filtering:1||finitetime control:1||semiMarkovian jump systems (SMJSs):1||Data sampling:1||variable cutoff frequency algorithm:1||Network topology:1||Stochastic integral sliding mode control:1||Active damping:1||Cost function:1||multisensor:1||finitetimeH(infinity) performance:1||delayproducttype LyapunovKrasovskii:1||finite time:1||Coordinate transformation:1||Cluster synchronization:1||Unknown control and output directions:1||mobile robot:1||Adaptive neural network (NN) control:1||fault detection filter (FDF):1||interval type2 TakagiSugeno (IT2 TS) fuzzy model:1||Buck converters:1||Load management:1||communication noise:1||Digital communication channel:1||TS fuzzy model:1||Boosting:1||uncertainty estimation:1||Sun:1||Games:1||tethered space robot:1||eliteduplication genetic algorithm:1||path planningtracking integration:1||Average dwelltime method:1||fuzzylogic system (FLS):1||cascade compensator:1||distributed consensus control:1||Sampleddata synchronization:1||neural networks (NNs):1||Helicopters:1||Optimization:1||surface stabilization:1||PDE systems:1||pointwise measurements and pointwise fuzzy control:1||Gain measurement:1||Singularly perturbed systems:1||DC motor (DCM):1||Internet of Things:1||positiontracking:1||piecewisehomogeneous Markov jump system:1||fuzzy logic system:1||closedloop system order:1||Disturbance compensation observer (DCO):1||headingsurge collaboration:1||distributed parameter systems (DPSs):1||modedependent hybrid dwell time:1||Seamless localization:1||Pedestrian tracking:1||Atmospheric measurements:1||particle approximation:1||Geometric technique:1||eventtriggered mechanism:1||Strain:1||Inverters:1||Finite frequency:1||trajectory tracking:1||Finite memory (FM):1||output tracking control:1||H<:1||Linear matrix inequalities (LMIs):1||sensor networks:1||Signal quantization:1||state differencing:1||multiagent system:1||aperiodic sampling:1||LPV reformulation:1||finitetime passivity (FTP) analysis:1||Stochastic retrievals:1||Adaptive fuzzy stabilization:1||Observerbased resilient control:1||Decentralized WSN:1||Overflow oscillation elimination:1||lateral vehicle dynamics:1||H2 outputfeedback control (H2OFC):1||Reachable set estimation:1||EFIR filtering:1||extended unbiased finite impulse response filter:1||Unbiased finite impulse response (UFIR) filter:1||Inputoutputtostate stability:1||finite impulse response filter:1||Kalman estimator:1||Finite memory structure:1||Finite frequency region:1||fuzzy logic systems:1||timevariant system:1||distributed hybrid particle/finite impulse response (FIR) filter:1||memory effect:1||discretetime TakagiSugeno fuzzy systems:1||external disturbances:1||linear matrix inequality constraint:1||Fuzzy cruise control:1||blind estimation:1||Modified discrete GaussianHermite moment:1||Maximum likelihood:1||moving average:1||Linfinity performance:1||Neural network:1||Adaptive horizon:1||Halfvehicle suspension system:1||Frequency estimation:1||neural network:1||Adaptive neuro fuzzy inference system (ANFIS):1||Outputtostate stability (OSS):1||Receding horizon disturbance attenuator (RHDA):1||Twodimensional (2D) digital filter:1||Interference:1||FornasiniMarchesini (FM) model:1||TakagiSugeno (TS) fuzzy neural networks:1||robust filtering problem:1||l(2)  l(infinity) criterion:1||output constraint:1||Steadystate:1||Magnetic levitation:1||Force:1||Learning systems:1||reaction&:1||Predictive control:1||Mechanical systems:1||rate and magnitudebounded actuator:1||nontriangular form:1||invariant manifold:1||dynamic neural network models:1||Adaptive backstepping control:1||Hemispherical resonator gyroscope:1||coordinated trajectorytracking control (CTTC):1||asymmetric nonlinear actuator saturation (ANAS):1||dead zone:1||Prescribed finitetime consensus:1||Observer:1||Finite/fixedtime synchronization:1||Covariance matrix adaptation evolution strategy:1||Multiagent system:1||Genetic regulatory networks:1||relative measurements:1||wireless sensor networks:1||leaderfollowing:1||Computational modeling:1||conjunct sampleddata and pointwise measurements:1||attitude stabilization:1||distributed delay:1||Upper bound:1||Manipulator dynamics:1||singlelink flexible manipulator:1||Mutual coupling:1||Fault detectability:1||Global stabilization:1||Performance recovery:1||outputfeedback control:1||fusion filter:1||magnetic levitation:1||sensorless nonlinear positionstabilising control:1||firstorder state estimators:1||Rover vehicletracking control:1||Multiplefault diagnosis (MFD):1||Markov jump:1||discretetime switched TS fuzzy system:1||Ballbeam systems:1||velocity observer:1||Informatics:1||distributed parameter system:1||LSSVM:1||Optimal estimation:1||backward Euler method:1||visual object tracking:1||probability density function (pdf):1||tracking control algorithm:1||model reduction:1||fusion algorithm:1||Adaptive filtering:1||Mean square consensus:1||Disturbance rejection:1||Recurrent neural network control:1||Uncertain nonlinear system:1||Switched nonlinear systems:1||fractional order systems:1||Eventtriggered mechanism (ETM):1||timevarying cutoff frequency:1||hyperchaotic system:1||Deadzone input:1||linear parametervarying technique:1||uncertain nonlinear systems:1||quadratic approximation:1||recent IIs:1||developed inequality:1||vehicle roll and road bank angles:1||Smith predictor:1||mismatched quantization:1||output voltage tracking:1||Dry bias correction:1||asynchronous switching:1||Actuator faults:1||nonlower triangular nonlinear systems:1||switched stochastic systems:1||Quantization:1||singular matrix:1||mobile robots:1||Indoor human localization:1||Ultra wide band (UWB):1||sampleddata stabilization:1||velocity estimation:1||unmanned aerial vehicle (UAV):1||H2 filter:1||generalised local sector condition:1||ellipsoidal region:1||Automation process:1||faulttolerant control scheme:1||mathematical operators:1||Fuzzy logic system:1||Membership function:1||Fusion filter (FF):1||finite impulse response structure:1||finitewordlength arithmetic:1||Cost functional:1||time delay:1||Finite measurements:1||Finitewordlength effect:1||Model predictive stabilization:1||Hinfinity chaos synchronization:1||LyapunovKrasovskii stability theory:1||finite wordlength effect:1||MIPI:1||prescribed performance:1||periodic event&:1||finitetime synchronization:1||gainscheduled controller:1||Consensus algorithm:1||a timevarying gain:1||Microgrids:1||Bandwidth:1||Linear matrix inequalities:1||output voltage control:1||current sensorless:1||Finite impulse response filters:1||Adaptive saturation compensation system:1||integral barrier Lyapunov function (iBLF):1||Dynamics:1||Mathematical models:1||extended FIR filter:1||Asynchronous switched Kfilter:1||Output feedback consensus control:1||Receding horizon estimation:1||Onlinelearning control:1||Variable learning intensity:1||finite memory estimation:1||Networked interconnected PDE systems:1||Surface stabilizer:1||speed tracking:1||L1gain:1||underactuated system:1||Decision making:1||timevarying delays:1||Reactiondiffusion complex dynamical networks:1||networked nonlinear stochastic systems:1||fuzzy filter design:1||largescale systems (LSSs):1||encoder measurement:1||transient performance:1||angular acceleration estimator:1||Zirconium:1||fault isolability:1||robot balancing:1||variable feedback gain:1||Exponential stabilization:1||Drones:1||closedloop robustness:1||adaptation algorithm:1||Small fault detection:1||Attitude control system (ACS):1||Backstepping:1||input dead zone:1||Delayed data:1||Noisetostate practical stability:1||noise measurement:1||forward Euler method:1||external interference:1||DC motor:1||speed synchronization:1||partially unknown conditional probabilities:1||DCDC buck converter:1||feedback structure:1||eventriggered control:1||white noises:1||Flexible risers:1||Dead zone:1||Resilient control:1||positive switched systems:1||Boosttype dcdc converter:1||colored process noise:1||Reformulated Lipschitz condition:1||(D, G, R)gammadissipativity:1||weighted integral inequality (WII):1||Eventtriggered communication scheme:1||Inputoutput finitetime stability:1||leaderfollowing consensus:1||fusion filtering:1||deadbeat H2 FIR filter:1||l(2)l(infinity) performance:1||Adaptive outputfeedback control:1||average dwell time (ADT):1||Lagrange multiplier:1||optimal horizon:1||hankel norm:1||generalized neural networks (NNs):1||Markov jump parameters:1||exponential weight:1||Genetic regulatory network:1||fading weight:1||discrete Wirtingertype inequality:1||discretetime switched neural networks (DSNNs):1||human localization:1||particle filter (PF):1||nonlineofsight (NLOS):1||industrial conditions:1||Smart sensor:1||Maximum likelihood FIR filter (MLFIRF):1||FornasiniMarchesini second (FMS) form:1||interconnected filter:1||finitememory structure:1||Robust stochastic stability:1||feedback interconnection:1||receding horizon stabilization:1||TakagiSugeno fuzzy Hopfield neural network:1||Finite word length effect:1||FornasiniMarchesini second model:1||Horizon group shift:1||induced l filter:1||Colored noises:1||State augmetation:1||linear matrix inequality:1||strict output passivation:1||delayed nonlinear system:1||Visualization:1||Load modeling:1||Optimal control:1||Learning (artificial intelligence):1||networkinduced delay:1||stochastic complex networks:1||exponential synchronization:1||generalized inertial neural networks (GINNs):1||diffusion terms:1||Control design:1||Averaging horizon:1||AC motors:1||Stators:1||Eigenvalues and eigenfunctions:1||Velocity observer:1||nonholonomic wheeled mobile robot:1||Fusion filter:1||Dynamic threshold:1||Error suppression:1||Markov jump systems (MJSs):1||roll to roll (R2R):1||highspeed train (HST):1||parallel distributed compensation:1||Composite linear parametervarying (LPV) reformulation:1||Couplings:1||Radial basis function networks:1||MAS:1||Optimized production technology:1||denialofservice (DoS) attacks:1||Pinning control:1||cluster synchronization:1||Monte Carlo simulations:1||Inputoutput finitetime stability (IOFTS):1||singlelink robot arm model (SLRAM):1||global LKF:1||switched nonlinear system (SNS):1||slidingmode control (SMC):1||Piecewise linear approximation:1||membership function (MF):1||aperiodically intermittent noise:1||invariant target tracking system:1||synchronization:1||Reduced order systems:1||Autonomous pilot:1||deep reinforcement learning:1||fullstate constraints:1||multisensor fusion:1||2DOF helicopter:1||Security:1||fuzzy modeling:1||parameterized linear matrix inequality (LMI):1||reachability analysis:1||tightly integrated navigation:1||twodimensional systems:1||Ball balancing:1||algebraic inequality:1||Collaboration:1||underactuated marine vehicle (UMV):1||Asynchronous outputfeedback control:1||Asynchronous switching:1||Motor drives:1||Threedimensional displays:1||flexible risers:1||robust adaptive control:1||Random neural networks:1||Practical Lyapunov function:1||BEbased models:1||timevarying:1||unique UFIR algorithm:1||Probability density function:1||Nonlinear process:1||sensor monitoring:1||variational Bayesian (VB) inference:1||Fault detection:1||Electrical fault detection:1||Phase distortion:1||attitude tracking control:1||Statedependent switching law:1||Markovian jump system (MJS):1||Adaptive nearoptimal control:1||antiwindup compensator:1||linear systems:1||neural networks:1||coupling weights:1||Stochastic stability:1||Static antiwindup compensator:1||Lyapunov method:1||Lipschitz digital filters:1||Saturation overflow:1||External interferences:1||Continuoustime:1||limit cycle elimination:1||Unknown output delays:1||indoor robot localisation:1||integrated EKF:1||uncertain noise environments:1||Looselycoupled model:1||Limit cycles:1||FornasiniMarchesini local statespace (FM LSS) model:1||stochastic peaktopeak filtering:1||twodimensional (2D) systems:1||Additive time delays:1||robust filtering:1||Finite wordlength effects:1||actuator faults:1||Direct form:1||Stability:1||multiobjective synthesis:1||Optical flow:1||Switched neural network:1||Inputtostate stability (ISS):1||l(2)  l(infinity) approach:1||Receding horizon control (RHC):1||TakagiSugeno fuzzy Hopfield neural networks:1||LyapunovKrasovskii stability theory:1||Adaptive strobe delay controller (ASDC):1||data and strobe signal:1||MDDI:1||#8208:1||magnetic levitation (MAGLEV):1||variable cutoff frequency:1||Completely unknown dynamics:1||Hidden Markov models:1||Complex networks:1||neural networkbased control:1||integral (PI) tracking controller:1||Adaptive eventtriggered scheme:1||genetic regulatory networks:1||Communication networks:1||FIR Filter:1||Switched TPs:1||Cyberattack:1||training law:1||matrix inequality:1||Intelligent sensors:1||Lipschitz nonlinear systems:1||restricted frequencydomain specifications (RFDSs):1||finitetime boundedness:1||pseudoPID slidingmode control (PseudoPIDSMC):1||delayrangedependent:1||functional:1||multiagents (MAs):1||Velocity regulation:1||multihorizon:1||complex domain:1||observerbased antidisturbance control:1||Robust estimation:1||Vehicle mass and wheelbase estimation:1||Directed graphs:1||directed graph:1||joint state and fault estimation:1||semiMarkov fault coefficient:1||Rolltoroll system:1||TS fuzzy approach:1||elastic spacecraft attitude tracking:1||Biological system modeling:1||relative states:1||actorcritic neural network:1||Genetic algorithms:1||fast finitetime tracking control:1||Industries:1||output delays:1||sensor network:1||Markovian switching topology:1||strict dissipativity:1||robust observer:1||Speed estimation:1||quadrotor localization:1||parity relation:1||singularly perturbed system (SPS):1||Speed tracking:1||energy shaping:1||positioning:1||QVMNNs:1||F/FTAS:1||Attenuation:1||Control system:1||rolltoroll (R2R) printing:1||s integral:1||damping:1||feedback gain:1||load variations:1||sojourntime:1||Fault isolation observer (FIO):1||Faulttolerant control (FTC):1||statespace methods:1||relativestate feedback:1||parameter uncertainty:1||nonhomogeneous Markovian chain:1||Reducedorder observer:1||DC boost converter:1||output voltagetracking control:1||invariant dynamic surface:1||faulttolerant control (FTC):1||new double integral inequality:1||state observer:1||Nonlinear quadrotor attitude dynamic model:1||/mml:msub>:1||Fuzzy logic systems (FLSs):1||Input nonlinearities:1||dynamic surface control (DSC):1||SemiMarkovian jump system:1||Constrained nonlinear timedelay systems:1||consensus control:1||SMOS soil moisture:1||Lyapunov exponents:1||Secondorder nonlinear systems:1||Finite impulse response filtering:1||mean square error (MSE):1||model uncertainty:1||Generalized overflow nonlinearities:1||Digital hardware overflow:1||Lipschitz nonlinear system stabilisation:1||Hankel norm performance:1||adaptive sliding mode control:1||delta operator method:1||TS fuzzy models:1||PFbased membership function adjustment:1||Leakage delay:1||unbiased finiteimpulse response (UFIR) filter:1||l(2)l(infinity) filter (llF):1||Generalized neural network:1||Weighted integral inequality:1||Mobile robot:1||Dissipativity:1||Timevarying delays:1||Multitarget tracking (MTT):1||dissipativity:1||L2Linfinity filtering:1||Wirtingertype inequality:1||2D digital filters:1||Finite impulse response filter:1||Fuzzy system model:1||l(2)  l(infinity) suppression:1||Receding horizon control:1||finite wordlength effect:1||LyapunovKrasovskii functional:1||relative skew:1||voltage controlled delay line (VCDL):1||Unified PHY:1||triggered scheme:1||False data injection attacks:1||input quantization:1||Design methodology:1||output quantization:1||Genetics:1||Singularly perturbed descriptor systems:1||High precision:1||finitetime observer:1||marine aerialsurface heterogeneous (MASH) system:1||Accurate trajectory tracking:1||integral inequality:1||Adding a power integrator:1||Complexity theory:1||Timevarying disturbance observer:1||Indoor localization scheme:1||tightly integration:1||compensation mechanism:1||intermittent control:1||Distributed localization:1||generalized onesided Lipschitz (OSL):1||periodic eventtriggered control (PETC):1||unmanned surface vehicles:1||Space vehicles:1||integral slidingmode control:1||Nonlinear multiagent systems:1||Command filter:1||power exponential function:1||semiMarkov jump systems:1||Denialofservice (DoS) attacks:1||distributed iterative finite impulse response (DIFIR) filter:1||Eventtriggered security control:1||Sensitivity:1||interval estimation:1||finitetime stability:1||

STATISTICS: Total View :6,090,368; Today View :2,499

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE