Sep 2026
Carleman approximation based adaptive optimal control design of nonlinear systems: A three-phase policy iteration approach.
A novel adaptive optimal controller design scheme for continuous-time nonlinear systems through neural network-based policy iteration through Carleman linearization, which allows the optimal feedback control to be derived from a state-dependent Riccati (SDR) equation rather than the Hamilton-Jacobi-Bellman equation.
Jian-Guo Zhao, Zhi-Jiang Gao, Chun-Yu Yang et al.
· Neural Networks · 0 citations