Cooperative Control of Nonlinear Multiagent Systems

Cooperative Control of Nonlinear Multiagent Systems by Jin-Liang Wang, Shun-Yan Ren, Huai-Ning Wu, and Tingwen Huang is an authoritative, modern guide to distributed control theory and practice. Ideal for researchers, graduate students, and engineering practitioners, this book translates advanced mathematics into actionable strategies for coordinating networks of agents under real-world nonlinear dynamics.

Begin with clear, compelling examples of consensus, synchronization, and formation control, the text moves into rigorous treatments of stability, robustness, and adaptive methods for nonlinear multiagent networks. Emphasizing both theoretical foundations and practical design, the authors present scalable algorithms for distributed estimation, observer design, and cooperative tracking—essential for applications in autonomous vehicles, UAV swarms, sensor networks, smart grids, and industrial robotics.

Readers will appreciate the balanced approach: concise proofs and illustrative figures accompany algorithmic steps and implementation guidance. The book highlights key challenges—time delays, switching topologies, uncertainties—and offers resilient solutions that perform across varying environments and geographic contexts, from urban infrastructure projects in Europe to UAV deployments across Asia and North America.

Whether you’re developing formation-control protocols, researching consensus under constraints, or integrating distributed controllers into complex systems, this volume equips you with proven methods and contemporary perspectives. Written by leading experts, it’s a must-have reference that bridges theory and practice for anyone working with nonlinear multiagent systems.

Secure your copy today to deepen your expertise, accelerate design cycles, and stay at the forefront of cooperative control research and applications worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.