Abstract
In this article, the finite-time stability is discussed for the novel nonlinear mixed multiagent systems (MASs) with unmodeled dynamics and constraints. Each agent is characterized as a state or output feedback system structured in the nonstrict form. The improved finite-time dynamic surface control (DSC) and the fuzzy actor-critic networks collectively constitute a novel optimal input. The fuzzy logic systems (FLSs) is introduced to approximate the unknown parts in the derivation process. By using the nonlinear transformation rules (NTRs), all the states or output are made to operate strictly within the predefined boundary conditions. The unmodeled dynamics can be solved by the constructed dynamic signals. By the aid of the compensating signals, the filtering errors can be countervailed in the DSC. The stability analysis demonstrates that all the signals are semi-globally practical finite-time stable (SGPFS). The feasibility of this scheme is explained intuitively by two simulations.
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