1. Fuzzy approximation-based optimal consensus control for nonlinear multiagent systems via adaptive dynamic programming.
- Author
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Zhao, Heng, Wang, Huanqing, Xu, Ning, Zhao, Xudong, and Sharaf, Sanaa
- Subjects
- *
ADAPTIVE fuzzy control , *MULTIAGENT systems , *DYNAMIC programming , *NONLINEAR systems , *SLIDING mode control , *ZERO sum games - Abstract
This paper investigates the fuzzy approximation-based optimal consensus control problem for nonlinear multiagent systems with unknown perturbations. By constructing local error dynamics, the considered optimal consensus problem is reformulated as finding Nash-equilibrium solutions to zero-sum games. Then, by using sliding mode control technology and the concept of hierarchical design, a series of control signals are sequentially designed to regulate the consensus error and minimize the local value function. In addition, an identifier-critic architecture is developed by using generalized fuzzy hyperbolic models, where the identifier is employed to relax the requirement for complete system dynamics information, and the hierarchical sliding mode surface-based critic network is applied to approximate optimal control inputs. Finally, A simulation example is presented to illustrate the validity of the proposed approach. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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