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Indigo Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems | Erin Mills Town Centre
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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.
Provides a framework for dealing with various nonlinearities in multi-agent cooperative control problems
Proposes the corresponding intelligent adaptive control schemes to compensate for uncertainties and disturbances
Includes applications to demonstrate the advantages of cooperative adaptive command filtered backstepping control approaches
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.
Provides a framework for dealing with various nonlinearities in multi-agent cooperative control problems
Proposes the corresponding intelligent adaptive control schemes to compensate for uncertainties and disturbances
Includes applications to demonstrate the advantages of cooperative adaptive command filtered backstepping control approaches
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