Advances in Discrete-Time Sliding Mode Control: Theory and ApplicationsThe focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features:
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Contents
uncertain systems | 1-24 |
DSMC for NCSs involving consecutive measurement | 2-35 |
DSMC for NCSs involving actuation and measurement | 4-7 |
Feedback Problem | 5-7 |
Sparse Observerbased discretetime SMC for NCSs | 5-10 |
DSMC for TwoDimensional Systems | 6-8 |
Controllability analysis of 2D systems | 6-55 |
Heart rate regulation during cycleergometer exercise | 6-77 |
H2Based Optimal Sparse Sliding Mode Control | 6-117 |
Other editions - View all
Advances in Discrete-Time Sliding Mode Control Ahmadreza Argha,Steven Su,Li Li,Hung Tan Nguyen,Branko George Celler No preview available - 2018 |
Common terms and phrases
1D form 2D systems actuator-based algorithm applying assumed auditory biofeedback bound boundary layer chapter closed-loop system considered continuous-time control effort control input control law control network structure control signal control strategy control system cycle-ergometer decentralized defined denotes design the sliding diag discrete-time sliding mode discrete-time systems disturbance estimator DSMC dynamics exogenous disturbance feedback gain FM model full row rank HR profile Lemma literature Lyapunov Lyapunov stability method NCSs observer-based obtained ODSMC optimization packet dropout packet losses parameter PID controller problem proposed pulse oximeter robust sampling rate scheme Schur complement Section sliding function sliding mode control solving sparsification stability structure matrix subsystems switching function T S T SB Theorem trajectories uncertainty utilized vector WAM model