Summary
This article presents a study on fixed -time adaptive fuzzy inverse optimal consensus for multiagent systems (MASs) subject to limited -time interval state constraints. To handle the constraints that occur within a limited -time interval during the system's operating cycle, we introduce a shifting function to shift the boundary and a state -dependent transformation function to transform the constrained MASs into non -constrained ones. We then propose an adaptive fixed -time inverse optimal consensus controller that achieves the convergence of consensus error within a fixed -time and inverse optimality without directly learning the solution of the Hamilton-Jacobi-Bellman (HJB) equations. To establish the criteria for fixed -time stabilization, we design an auxiliary controller instead of the auxiliary system and introduce two Lyapunov functions to prove the inverse optimality and fixed -time stabilization. The developed consensus scheme ensures that the synchronization error asymptotically converges to a user -predefined region within a fixed settling time. We validate the effectiveness of the developed scheme through a simulation example.
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Institution广东工业大学; 南阳理工学院