Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems
Command Filtered Backstepping
Series: Emerging Methodologies and Applications in Modelling, Identification and Control;
- Publisher's listprice EUR 228.99
-
94 973 Ft (90 451 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 9 497 Ft off)
- Discounted price 85 476 Ft (81 406 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
94 973 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Elsevier Science
- Date of Publication 1 December 2025
- ISBN 9780443416446
- Binding Paperback
- No. of pages450 pages
- Size 229x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.
MoreTable of Contents:
PART I: Command Filtered backstepping and graph theory
1. Introduction of Command filtered backstepping and graph theory
PART II: Adaptive consensus control for strict-feedback nonlinear multi-agent systems
2. Neuroadaptive command filtered backstepping containment control for nonlinear multi-agent systems
PART III: Adaptive consensus control for nonstrict-feedback nonlinear multi-agent systems
4. Observer based neuroadaptive finite-time command filtered backstepping containment control for nonlinear multi-agent systems
PART IV: Adaptive consensus control for constrained nonlinear multi-agent systems
5. Observer based fuzzy adaptive command filtered backstepping consensus tracking control for nonlinear multi-agent systems with input constraints Lin Zhao, Jinpeng Yu, Qingdao University
6. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonlinear multi-agent systems with unknown control directions
7. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for nonstrict-feedback nonlinear multiagent systems with full-state constraints
PART V: Adaptive consensus control for nonlinear coopetition multi-agent systems
8. Fuzzy adaptive command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent system
9. Neuroadaptive finite-time command filtered backstepping bipartite consensus control for nonlinear coopetition multi-agent systems
PART VI: Adaptive consensus control for stochastic nonlinear multi-agent systems
10. Fuzzy adaptive finite-time command filtered backstepping consensus tracking control for stochastic nonlinear multi-agent systems
11. Fuzzy adaptive fast finite-time command filtered backstepping containment control for stochastic nonlinear multi-agent systems
PART VII: Applications of command filtered backstepping based adaptive consensus control
12. Adaptive command filtered backstepping asymptotic consensus tracking control for multiple manipulator systems
13. Adaptive finite-time command filtered backstepping containment control for multiple manipulator systems
14. Adaptive finite-time command filtered backstepping containment control for multiple spacecraft systems
15. Observer based finite-time command filtered backstepping containment control for multiple spacecraft systems
