Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems by Lin Zhao
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.-
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Dynamics and Advanced Motion Control of Off-Road UGVs
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Vibration Control and Actuation of Large-Scale Systems
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Integer Optimization and its Computation in Emergency Management
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Consensus Tracking of Multi-agent Systems with Switching Topologies
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New Trends in Observer-based Control
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Advanced Seat Suspension Control System Design for Heavy Duty Vehicles
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Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators
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Fractional-Order Design
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Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control
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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
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Non-monotonic Approach to Robust H8 Control of Multi-model Systems
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Recent Advances in Chaotic Systems and Synchronization
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Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
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Cooperative Control of Multi-Agent Systems
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Cloud Control Systems
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Fractional Order Systems
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Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process
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Control Strategy for Time-Delay Systems
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Analysis and Synthesis of Singular Systems
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Mechanisms
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Small Sample Modelling Based on Deep and Broad Forest Regression
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Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems
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Control of Underactuated Mechanical Systems
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Internet of Things (IoT) - An Engineering Approach
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Autonomous Mobile Robots
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System Assurances
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Fast Satellite Attitude Maneuver and Control
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State Space Systems With Time-Delays Analysis, Identification, and Applications
Lin Zhao received a B.Sc. degree in Mathematics and Applied Mathematics from Qingdao University, Qingdao, China, in 2008, and a M.Sc. degree in Operational Research and Cybernetics from the Ocean University of China, Qingdao, in 2011. Zhao earned a Ph.D. degree in Applied Mathematics from Beihang University, Beijing, China, in 2016. He is currently a Professor with the School of Automation, Qingdao University. His current research interests include distributed control of multiagent systems, finite-time control, and robot control systems. Dr. Zhao was the recipient of the Shandong Province Taishan Scholar Special Project Fund and the Shandong Province Fund for Outstanding Young Scholars.
Jinpeng Yu received a B.Sc. degree in Automation from Qingdao University, Qingdao, China, in 2002, and an M.Sc. degree in System Engineering from Shandong University, Jinan, China, in 2006. Yu went on to obtain a Ph.D. degree in System Theory from the Institute of Complexity Science, Qingdao University, in 2011. He is currently a Professor with the School of Automation, Qingdao University. His research interests include electrical energy conversion and motor control, applied nonlinear control, and intelligent systems. Dr. Yu was the recipient of the Shandong Province Taishan Scholar Special Project Fund and Shandong Province Fund for Outstanding Young Scholars. He has been an Associate Editor of several reputable journals.
| SKU | Unavailable |
| ISBN 13 | 9780443416446 |
| ISBN 10 | 0443416443 |
| Title | Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems |
| Author | Lin Zhao |
| Series | Emerging Methodologies And Applications In Modelling Identification And Control |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Elsevier Science Publishing Co Inc |
| Year published | 2025-12-01 |
| Number of pages | 450 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |