Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus

ISBN-13: 9780367254322 / Angielski / Twarda / 2019 / 222 str.

Xiang-Gui Guo; Jian-Liang Wang; Fang Liao

Opis

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile quantized consensus for multi-agent systems. It investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.

Spis treści

1 Introduction

1.1 Platoon Control

1.2 Non-Fragile Quantized Consensus

1.3 Preview of Chapters

2 Preliminaries

2.1 Notations

2.2 Acronyms

2.3 String Stability Theory

2.4 Basic Algebraic Graph Theory

2.5 H∞ Performance Index

2.6 Some Other Definitions and Lemmas

3 String Stability of Vehicle Platoons with External Disturbances

3.1 Introduction

3.2 Model Description And Problem Formulation

3.3 Design of Distributed Adaptive Integrated Sliding Mode (ISM) Control

3.4 Numerical Examples

3.5 Conclusion

4 String Stability of Vehicle Platoons with Nonlinear Acceleration Uncertainties

4.1 Introduction

4.2 Vehicle Platoon And Problem Formulation

4.3 Distributed Adaptive Integrated Sliding Mode Control (ISMC) Strategy

4.4 Simulation Study and Performance Results

4.5 Conclusion

5 CNN-Based Adaptive Control for Vehicle Platoon with Input Saturation

5.1 Introduction

5.2 Vehicle-Following Platoon Model and Preliminaries

5.3 Distributed Adaptive NN Control Design and Stability Analysis

5.4 Simulation Study and Performance Results

5.5 Conclusion

6 Adaptive Fuzzy Fault-Tolerant Control for Multiple High-Speed Trains

6.1 Introduction

6.2 High-Speed Train Dynamics and Preliminaries

6.3 PI-Based Sliding Mode and Coupled Sliding Mode

6.4 Adaptive Fuzzy Control Design and Stability Analysis

6.5 Simulation Study and Performance Results

6.6 Conclusion

7 Collision Avoidance for Vehicle Platoon with Input Deadzone and Spacing Constraints

7.1 Introduction

7.2 Vehicular Platoon Model And Preliminaries

7.3 Distributed Adaptive NN Control Design

7.4 Simulation Study

7.5 Conclusion

8 Neuro-Adaptive Quantized PID-Based SMC of Vehicular Platoon with Deadzone

8.1 Introduction

8.2 Vehicle-Following Platoon Model And Preliminaries

8.3 Neuro-Adaptive Quantized PIDSMC Design and Strong String Stability Analysis

8.4 Simulation Study

8.5 Conclusion

9 Low-Complexity Control of Vehicular Platoon with Asymmetric Saturation

9.1 Introduction

9.2 Vehicular Platoon Description

9.3 Adaptive PIDSMC Design and Strong String Stability Analysis

9.4 Simulation Results

9.5 Conclusion

10 Non-Fragile Quantized Consensus for Multi-Agent Systems Based On Incidence Matrix

10.1 Introduction

10.2 Uniform Quantizer and Logarithmic Quantizer

10.3 Problem Formulation

10.4 Non-Fragile Quantized Controller Design

10.5 Numerical Example

10.6 Conclusion

11 Non-Fragile H∞ Consensus for Multi-Agent Systems With Interval-Bounded Variations

11.1 Introduction

11.2 Problem Formulation

11.3 Non-Fragile H∞ Consensus For Multi-Agent Systems

11.4 Numerical Example

11.5 Conclusions

12 Quantized H∞ Consensus for Multi-Agent Systems With Quantization Mismatch

12.1 Introduction

12.2 Quantized H∞ Consensus for General Linear Dynamics

12.3 Quantized H∞ Consensus for Lipschitz Nonlinearity

12.4 Numerical Examples

12.4.1 Example 1

12.4.2 Example 2

12.5 Conclusion

Bibliography

Index