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Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method.

, , , and . Neurocomputing, (2016)

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Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game., , and . IJCNN, page 3815-3820. IEEE, (2014)Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming., , and . Neurocomputing, (2015)Recovering Scale in Monocular DSO Using Multi-sensor Data., , , , and . ICSI (2), volume 11656 of Lecture Notes in Computer Science, page 361-369. Springer, (2019)H∞ control with constrained input for completely unknown nonlinear systems using data-driven reinforcement learning method., , , and . Neurocomputing, (2017)A Novel Image Classification Approach via Dense-MobileNet Models., , , , , and . Mob. Inf. Syst., (2020)Neural-Network-Based Constrained Optimal Control Scheme for Discrete-Time Switched Nonlinear System Using Dual Heuristic Programming., , and . IEEE Trans Autom. Sci. Eng., 11 (3): 839-849 (2014)A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm., , and . IEEE Trans. Syst. Man Cybern. Part B, 38 (4): 937-942 (2008)Infinite horizon optimal control of affine nonlinear discrete switched systems using two-stage approximate dynamic programming., , , and . Int. J. Systems Science, 43 (9): 1673-1682 (2012)Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound., , , and . Int. J. Systems Science, 45 (8): 1683-1693 (2014)Adaptive dynamic programming-based optimal control of unknown nonaffine nonlinear discrete-time systems with proof of convergence., , , and . Neurocomputing, (2012)