Advances in discrete-time sliding mode control : theory and applications

Description

Focusing on the design of a specific control strategy using digital computers, this 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 also discusses recent investigations' output in the field of discrete-time sliding mode control (DSMC)-- Abstract: Focusing on the design of a specific control strategy using digital computers, this 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 also discusses recent investigations' output in the field of discrete-time sliding mode control (DSMC)-- Read more... Content: 1 Introduction1.1 Continuous-time SMC 1.2 Regular form-based DSMC 1.3 Summary I LMI-Based Discrete-Time Sliding Mode Control 2 LMI-based SF DSMC2.1 Introduction2.2 Problem Formulation2.3 Design of Discrete-time SMC 2.4 Disturbance Estimate in Control Law 2.5 Simulation Results 2.6 Conclusions 3 LMI-based output feedback DSMC3.1 Introduction 3.2 Problem Formulation 3.3 Observer-Based output feedback DSMC 3.4 Simulation Results 3.5 Conclusions II DSMC for NCSs involving packet losses4 NCSs with measurement packet losses4.1 Introduction4.2 Problem Formulation and Preliminaries4.3 Stochastic Sliding Mode Control 4.4 Variable Structure Controller Considerations 4.5 Simulation Results 4.6 Conclusions5 NCSs with actuation and measurement packet losses 5.1 Introduction 5.2 Problem Formulation and Preliminaries5.3 Stochastic sliding mode control 5.4 Numerical examples 5.5 Conclusions III Sparse Sliding Mode Control for Large Scale NCSs 6 Sparse DSMC for NCSs6.1 Introduction 6.2 Problem Formulation and Preliminaries 6.3 Spatially Decentralized Sliding Mode Control 6.4 Stability Analysis 6.5 Sparsifying the Control Network Structure 6.6 Numerical examples 6.7 Conclusions7 Optimal sparse SMC for NCSs 7.1 Introduction 7.2 Problem Formulation and Preliminaries 7.3 Optimal Structured SMC Design Problem 7.4 Sparsification of Control Network7.5 Numerical Examples 7.6 Solving LQ SOF problem 7.7 Reweighted `1 minimization algorithm 7.8 ConclusionsIV DSMC for Two-Dimensional Systems8 DSMC for 2D Systems 8.1 Introduction8.2 Problem Formulation8.2.1 New 1D form of 2D first FM model8.3 DSMC for 1D Discrete Vector Form8.4 Simulation Results8.5 Conclusions9 Controllability Analysis of 2D systems9.1 Introduction9.2 WAM model of First FM Model9.3 Controllability analysis of the New Model in 8.2.19.4 Numerical Example9.5 ConclusionsV Integral DSMC for Heart Rate Regulation10 HR Regulation During Cycle-Ergometer Exercise10.1 Introduction10.2 Methods10.3 Results10.4 Discussion10.5 ConclusionsBibliographyIndex