Go back

Cooperative Control Of Multi Agent Systems Optimal And Adaptive Design Approaches(1st Edition)

Authors:

Frank L Lewis ,Hongwei Zhang ,Kristian Hengster Movric ,Abhijit Das

cooperative control of multi agent systems optimal and adaptive design approaches 1st edition frank l lewis

12 ratings

Get FreeFor $0
Only SolutionsFor $9.99

Cover Type:Hardcover

Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days

Popular items with books

Access to 30 Million+ solutions Free ✝

Ask 50 Questions from expert AI-Powered Answers

✝ 7 days-trial

Total Price:

List Price: $126.69 Savings: $126.69(100%)

Solution Manual Includes

Access to 30 Million+ solutions

Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Cooperative Control Of Multi Agent Systems Optimal And Adaptive Design Approaches

Price:

$9.99

/month

Book details

ISBN: 1447171942, 978-1447171942

Book publisher: Springer

Get your hands on the best-selling book Cooperative Control Of Multi Agent Systems Optimal And Adaptive Design Approaches 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: Cooperative Control Of Multi-Agent Systems Extends Optimal Control And Adaptive Control Design Methods To Multi-agent Systems On Communication Graphs. It Develops Riccati Design Techniques For General Linear Dynamics For Cooperative State Feedback Design, Cooperative Observer Design, And Cooperative Dynamic Output Feedback Design. Both Continuous-time And Discrete-time Dynamical Multi-agent Systems Are Treated. Optimal Cooperative Control Is Introduced And Neural Adaptive Design Techniques For Multi-agent Nonlinear Systems With Unknown Dynamics, Which Are Rarely Treated In Literature Are Developed. Results Spanning Systems With First-, Second- And On Up To General High-order Nonlinear Dynamics Are Presented.Each Control Methodology Proposed Is Developed By Rigorous Proofs. All Algorithms Are Justified By Simulation Examples. The Text Is Self-contained And Will Serve As An Excellent Comprehensive Source Of Information For Researchers And Graduate Students Working With Multi-agent Systems.