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Gain-scheduled PI tracking control on stochastic nonlinear systems with partially known transition probabilities., , and . J. Frankl. Inst., 348 (4): 685-702 (2011)Reinforcement learning-based nonlinear tracking control system design via LDI approach with application to trolley system., , , and . Neural Comput. Appl., 34 (7): 5055-5062 (2022)Robust Filtering for Markov Jump Systems by Randomized Algorithm Approach., , , , and . ACC, page 1879-1884. IEEE, (2019)Anti-disturbance Control Based On Uncertain Data., , , , and . ICSIM, page 32-35. ACM, (2020)A computational study of optimal control of Markov jump systems., , , , and . J. Frankl. Inst., 359 (8): 3575-3596 (2022)Distributed leader-following consensus of a class of nonlinear multi-agent systems., , , and . ASCC, page 741-744. IEEE, (2017)Finite-Time Gain-Scheduled Control on Stochastic Bioreactor Systems with Partially Known Transition Jump Rates., , and . Circuits Syst. Signal Process., 30 (3): 609-627 (2011)Moving time domain blending operational strategy for alumina production by mixed integer optimization., , , , and . Comput. Chem. Eng., (2022)Breaking Limitation of Convergence in Continuous Optimization: Predefined-Time Gradient Flows., , , , , , , and . CDC, page 5938-5943. IEEE, (2024)Robust control on saturated Markov jump systems with missing information., , , and . Inf. Sci., (2014)