Resilient Cooperative Control and Optimization of Multi-Agent Systems

Resilient Cooperative Control and Optimization of Multi-Agent Systems by Zhi Feng, Xiwang Dong, Guoqiang Hu, and Jinhu Lyu is a definitive resource for engineers, researchers, and advanced students tackling robustness and coordination in networked systems. This timely volume captures the forefront of resilient cooperative control, distributed optimization, and fault-tolerant consensus—essential topics for autonomous vehicles, smart grids, robotics, and large-scale cyber-physical systems.

Begin with a compelling overview of resilience principles, then move into rigorous but accessible treatments of stability analysis, controller synthesis, and optimization algorithms designed for multi-agent networks. The authors blend mathematical depth with practical insight: graph-theoretic foundations, Lyapunov-based methods, and convex and nonconvex optimization techniques are illustrated through real-world scenarios and simulation studies. Emphasis on disturbance rejection, attack resilience, and event-triggered coordination ensures relevance to security-conscious industries and research labs worldwide.

Readers will gain actionable tools for designing robust distributed controllers, improving networked decision-making, and deploying scalable optimization strategies across heterogeneous agents. Whether you’re developing autonomous fleets in North America, smart infrastructure in Europe, or cooperative robotics in Asia, this text offers a global perspective and implementable frameworks.

Clear exposition, extensive examples, and a focus on current challenges make this book ideal as a graduate course text, reference for R&D teams, or a roadmap for interdisciplinary projects. Equip your team with the theory and methods to steer complex multi-agent systems toward reliable, optimized performance—order your copy today.

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