Multi-Agent Systems : Platoon Control and Non-Fragile Quantized Consensus /: Platoon Control and Non-Fragile Quantized Consensus. (2020)
- Record Type:
- Book
- Title:
- Multi-Agent Systems : Platoon Control and Non-Fragile Quantized Consensus /: Platoon Control and Non-Fragile Quantized Consensus. (2020)
- Main Title:
- Multi-Agent Systems : Platoon Control and Non-Fragile Quantized Consensus
- Further Information:
- Note: Xiang-Gui Guo, Jian-Liang Wang, Fang Liao, Rodney Teo.
- Other Names:
- Guo, Xiang-Gui
Wang, Jian-Liang
Liao, Fang
Teo, Rodney Swee Huat - Contents:
- 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 Preliminaries1 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 … (more)
- Publisher Details:
- Boca Raton, FL : CRC Press
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 006.3/0285436
Multiagent systems
Motor vehicle fleets -- Data processing
Neural networks (Computer science)
Autonomous vehicles
TECHNOLOGY / Electricity
TECHNOLOGY / Electronics / General
Electronic books - Languages:
- English
- ISBNs:
- 9780429287770
0429287771
9781000228960
1000228967
9781000264906
1000264904
9781000300840
1000300846 - Related ISBNs:
- 9780367254322
- Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF file page (EBSCO, viewed July 1, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.438153
- Ingest File:
- 02_561.xml