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Optimal Output Tracking Control and Stabilization of Networked Control Systems with Packet Losses

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摘要 This paper studies the optimal output tracking control and stabilization for networked control systems with packet losses via output feedback control.Both finite-horizon and infinite-horizon cases are considered.For the finite-horizon case,the authors introduce an augmented system according to the state variable and the reference trajectory for the first time.Based on a set of difference Riccati equations,an optimal output feedback tracking controller is proposed by applying the stochastic maximum principle.And an optimal estimator is presented.For the infinite-horizon case,a necessary and sufficient condition for the stabilization of the system is provided.And an optimal output feedback stabilizing tracking controller is obtained by establishing a set of algebraic Riccati equations.Finally,numerical examples are given to verify the proposed results.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2021年第2期602-617,共16页 系统科学与复杂性学报(英文版)
基金 the National Natural Science Foundation of China under Grant Nos.61473134,61573220,U1806204 the Postdoctoral Science Foundation of China under Grant No.2017M622231 the Fundamental Research Funds of Shandong University under Grant No.2017JC009。
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  • 1Reyesa F,Kelly R.Experimental evaluation of model-based controllers on a direct drive robot arm.Mechatronics,2001,11(3):267-282
  • 2Slotine J E,Li W P.Applied Nonlinear Control.New Jersey:Prentice Hall,1991.392-416
  • 3Wilamowski B M,Cotton N J,Kaynak O,Dundar G.Computing gradient vector and Jacobian matrix in arbitrarily connected neural networks.IEEE Transactions on Industrial Electronics,2008,55(10):3784-3790
  • 4Lewis F L,Yesildirek A,Liu K.Multilayer neural-net robot controller with guaranteed tracking performance.IEEE Transactions on Neural Networks,1996,7(2):388-399
  • 5Chen Z M,Zhang J G,Wang Z Y,Zeng J C.Sliding mode control of robot manipulators based on neural network reaching law.In:Proceedings of IEEE International Conference on Control and Automation.Guangzhou,China:IEEE,2007.370-373
  • 6Pen X M,Rad A B,Lewis F L.Neural network-based compeusation control of robot manipulators with unknown dynamics.In:Proceedings of the American Control Conference.New York,USA:IEEE,2007.13-18
  • 7Jung S,Kim S S.Hardware implementation of a real-time neural network controller with a DSP and an FPGA for nonlinear systems.IEEE Transactions on Industrial Electronics,2007,54(1):265-271
  • 8Park J,Sandberg I W.Universal approximation using radial basis-function networks.Neural Computation,1990,3(2):246-257
  • 9Yoo D S,Chung M J,Bien Z.Real-time implementation and evaluation of dynamic control algorithms for industrial manipulators.IEEE Transactions on Industrial Electronics,1991,38(1):26-31
  • 10Xu L,Yan B.Adaptive robust precision motion control of linear motors with negligible electrical dynarnics:theory and experiments.IEEE/ASME Transactions on Mechatronics,2001,8(4):444-462

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