Abstract: Differential dynamic programming (DDP) is a popular technique for solving nonlinear optimal control problems with locally quadratic approximations. However, existing DDP methods are not ...

Abstract: Direct optimal control techniques, relying on numerical methods for constrained optimization, are typically used in trajectory planning tasks in high-dimensional spaces. However, ...

Abstract: This article is concerned with the convergence property and error bounds analysis of value iteration (VI) adaptive dynamic programming for continuous-time ...

Abstract: A common operation in multirobot systems is to generate a motion plan for multiple robots such that the robots can move in formation to achieve some desired effects. For example, in ...

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Abstract: This article proposes two decentralized multiagent optimal control methods that combine the computational efficiency and scalability of differential dynamic programming (DDP) and the ...

Abstract: In this paper, the novel prescribed-time dynamic event-triggered control method of an unknown multiplayer nonzero-sum game (MP-NZSG) is designed by using adaptive dynamic programming (ADP).

Abstract: Dear Editor, In this letter, the multi-objective optimal control problem of nonlinear discrete-time systems is investigated. A data-driven policy gradient algorithm is proposed in which the ...

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...

Abstract: This article presents an efficient method for solving the optimal tracking control policy of unmanned surface vehicles (USVs) using a hybrid adaptive dynamic programming (ADP) approach. This ...

Abstract: Robust local navigation is a critical capability for any mobile robot operating in a real-world unstructured environment, especially when there are humans or other moving obstacles in the ...

Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...