Regular price €82.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Fang Liao
A01=Jian-Liang Wang
A01=Rodney Swee Huat Teo
A01=Xiang-Gui Guo
Actuator Faults
adaptive fault-tolerant control
Adaptive Fuzzy Control Schemes
Adaptive NN Control
advanced vehicle platoon coordination
Author_Fang Liao
Author_Jian-Liang Wang
Author_Rodney Swee Huat Teo
Author_Xiang-Gui Guo
Category=UYQ
Chebyshev neural networks
Closed Loop Network Dynamics
Consecutive Trains
Consecutive Vehicles
Consensus Protocol
distributed control theory
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
fuzzy logic systems
High Order Multi-agent Systems
Input Quantization
Linear Multi-agent Systems
LMI Condition
Mismatch Ratio
modified constant time headway policy
Multi-agent Systems
neural network approximation
Nonlinear Multi-agent Systems
Nonlinear Uncertainties
RBFNN
Sliding Mode
sliding mode algorithms
Sliding Mode Control
sliding mode control algorithms
Sliding Mode Control Method
Spacing Errors
String Stability
Time Varying Communication Topologies
Undirected Communication Graphs
Unknown Nonlinear Dynamics
Vehicle Platoon
vehicle string stability

Product details

  • ISBN 9781032338316
  • Weight: 362g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Jun 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

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. The main feature of this book is that distributed adaptive sliding mode control (SMC) algorithms are proposed to guarantee strong string stability based on modified constant time headway (MCTH) policy. The MCTH policy is used to remove the unrealistic assumption in the most existing literature that initial spacing, velocity and acceleration errors are zero. This monograph investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.

Xiang-Gui Guo is an Associate Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.

Jian-Liang Wang is an Associate Professor with the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore.

Fang Liao is a Research Scientist with Temasek Laboratories, National University of Singapore, Singapore. Rodney Swee Huat Teo is a Principal Member of Technical Staff of the DSO National Laboratories, Singapore, and a Senior Research Scientist with Temasek Laboratories, National University of Singapore.

More from this author