Advanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments. Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation

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  • Author : Magdi S. Mahmoud
  • Publisher : Academic Press
  • Pages : 394 pages
  • ISBN : 012823203X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAdvanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems
  • Author : Magdi S. Mahmoud,Mojeed O. Oyedeji,Yuanqing Xia
  • Publisher : Academic Press
  • Release : 05 December 2020
GET THIS BOOKAdvanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math

Consensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies
  • Author : Lijing Dong,Sing Kiong Nguang
  • Publisher : Academic Press
  • Release : 08 April 2020
GET THIS BOOKConsensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with continuously switching topologies and relay tracking systems with switching of agents. Research problems addressed are well defined and numerical examples and simulation results are given to demonstrate the engineering potential. The book is aimed at advanced graduate students in control engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers working

Cooperative Control of Multi-Agent Systems

Cooperative Control of Multi-Agent Systems
  • Author : Zhongkui Li,Zhisheng Duan
  • Publisher : CRC Press
  • Release : 19 December 2017
GET THIS BOOKCooperative Control of Multi-Agent Systems

Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics. Beginning with an introduction to cooperative control and graph theory, this

Distributed Cooperative Control of Multi-agent Systems

Distributed Cooperative Control of Multi-agent Systems
  • Author : Wenwu Yu,Guanghui Wen,Guanrong Chen,Jinde Cao
  • Publisher : John Wiley & Sons
  • Release : 01 May 2017
GET THIS BOOKDistributed Cooperative Control of Multi-agent Systems

A detailed and systematic introduction to the distributed cooperative control of multi-agent systems from a theoretical, network perspective Features detailed analysis and discussions on the distributed cooperative control and dynamics of multi-agent systems Covers comprehensively first order, second order and higher order systems, swarming and flocking behaviors Provides a broad theoretical framework for understanding the fundamentals of distributed cooperative control

Advanced Control Design with Application to Electromechanical Systems

Advanced Control Design with Application to Electromechanical Systems
  • Author : Magdi S Mahmoud
  • Publisher : Butterworth-Heinemann
  • Release : 12 April 2018
GET THIS BOOKAdvanced Control Design with Application to Electromechanical Systems

Advanced Control Design with Application to Electromechanical Systems represents the continuing effort in the pursuit of analytic theory and rigorous design for robust control methods. The book provides an overview of the feedback control systems and their associated definitions, with discussions on finite dimension vector spaces, mappings and convex analysis. In addition, a comprehensive treatment of continuous control system design is presented, along with an introduction to control design topics pertaining to discrete-time systems. Other sections introduces linear H1 and

Multiagent Systems

Multiagent Systems
  • Author : Magdi S. Mahmoud
  • Publisher : CRC Press
  • Release : 20 March 2020
GET THIS BOOKMultiagent Systems

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the

Consensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies
  • Author : Lijing Dong,Sing Kiong Nguang
  • Publisher : Academic Press
  • Release : 08 April 2020
GET THIS BOOKConsensus Tracking of Multi-agent Systems with Switching Topologies

Consensus Tracking of Multi-agent Systems with Switching Topologies takes an advanced look at the development of multi-agent systems with continuously switching topologies and relay tracking systems with switching of agents. Research problems addressed are well defined and numerical examples and simulation results are given to demonstrate the engineering potential. The book is aimed at advanced graduate students in control engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers working

Multiagent Systems

Multiagent Systems
  • Author : Magdi S. Mahmoud
  • Publisher : CRC Press
  • Release : 20 March 2020
GET THIS BOOKMultiagent Systems

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the

Distributed Coordination of Multi-agent Networks

Distributed Coordination of Multi-agent Networks
  • Author : Wei Ren,Yongcan Cao
  • Publisher : Springer Science & Business Media
  • Release : 30 November 2010
GET THIS BOOKDistributed Coordination of Multi-agent Networks

Distributed Coordination of Multi-agent Networks introduces problems, models, and issues such as collective periodic motion coordination, collective tracking with a dynamic leader, and containment control with multiple leaders, and explores ideas for their solution. Solving these problems extends the existing application domains of multi-agent networks; for example, collective periodic motion coordination is appropriate for applications involving repetitive movements, collective tracking guarantees tracking of a dynamic leader by multiple followers in the presence of reduced interaction and partial measurements, and containment

Distributed Consensus in Multi-vehicle Cooperative Control

Distributed Consensus in Multi-vehicle Cooperative Control
  • Author : Wei Ren,Randal Beard
  • Publisher : Springer Science & Business Media
  • Release : 27 October 2007
GET THIS BOOKDistributed Consensus in Multi-vehicle Cooperative Control

Assuming only neighbor-neighbor interaction among vehicles, this monograph develops distributed consensus strategies that ensure that the information states of all vehicles in a network converge to a common value. Readers learn to deal with groups of autonomous vehicles in aerial, terrestrial, and submarine environments. Plus, they get the tools needed to overcome impaired communication by using constantly updated neighbor-neighbor interchange.

Cooperative Control of Dynamical Systems

Cooperative Control of Dynamical Systems
  • Author : Zhihua Qu
  • Publisher : Springer Science & Business Media
  • Release : 07 February 2009
GET THIS BOOKCooperative Control of Dynamical Systems

Stability theory has allowed us to study both qualitative and quantitative properties of dynamical systems, and control theory has played a key role in designing numerous systems. Contemporary sensing and communication n- works enable collection and subscription of geographically-distributed inf- mation and such information can be used to enhance signi?cantly the perf- manceofmanyofexisting systems. Throughasharedsensing/communication network,heterogeneoussystemscannowbecontrolledtooperaterobustlyand autonomously; cooperative control is to make the systems act as one group and exhibit certain cooperative behavior, and it must be

Graph Theoretic Methods in Multiagent Networks

Graph Theoretic Methods in Multiagent Networks
  • Author : Mehran Mesbahi,Magnus Egerstedt
  • Publisher : Princeton University Press
  • Release : 01 July 2010
GET THIS BOOKGraph Theoretic Methods in Multiagent Networks

This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems.

Cooperative Control of Multi-Agent Systems

Cooperative Control of Multi-Agent Systems
  • Author : Frank L. Lewis,Hongwei Zhang,Kristian Hengster-Movric,Abhijit Das
  • Publisher : Springer Science & Business Media
  • Release : 31 December 2013
GET THIS BOOKCooperative Control of Multi-Agent Systems

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

Distributed Cooperative Control

Distributed Cooperative Control
  • Author : Yi Guo
  • Publisher : John Wiley & Sons
  • Release : 03 April 2017
GET THIS BOOKDistributed Cooperative Control

7.3 Plume Front Estimation and Tracking by Single Robot -- 7.3.1 State Equation of the Plume Front Dynamics -- 7.3.2 Measurement Equation and Observer Design -- 7.3.3 Estimation-Based Tracking Control -- 7.3.4 Convergence Analysis -- 7.4 Multirobot Cooperative Tracking of Plume Front -- 7.4.1 Boundary Robots -- 7.4.2 Follower Robots -- 7.4.3 Convergence Analysis -- 7.5 Simulations -- 7.5.1 Simulation Environment -- 7.5.2 Single-Robot Plume Front Tracking -- 7.5.3 Multirobot Cooperative Plume Front Tracking -- 7.6 Conclusion -- Notes -- References -- Part III Distributed Cooperative Control for Multiagent Physics Systems -- Chapter 8 Friction

Nonlinear Systems

Nonlinear Systems
  • Author : Shankar Sastry
  • Publisher : Springer Science & Business Media
  • Release : 18 April 2013
GET THIS BOOKNonlinear Systems

There has been much excitement over the emergence of new mathematical techniques for the analysis and control of nonlinear systems. In addition, great technological advances have bolstered the impact of analytic advances and produced many new problems and applications which are nonlinear in an essential way. This book lays out in a concise mathematical framework the tools and methods of analysis which underlie this diversity of applications.