Practical trajectory tracking of random Lagrange systems

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2019

Authors

Wu, Z.
Karimi, H.R.
Shi, P.

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Journal article

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Automatica, 2019; 105:314-322

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Zhaojing Wu, Hamid Reza Karimi, Peng Shi

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Abstract

The problem of trajectory tracking is considered in this paper for Lagrange systems disturbed by second moment processes. For random differential equations, the concept of noise-to-state practical stability and its criterion are proposed. A state-feedback tracking control is designed by using vectorial backstepping method, which covers Slotine–Li controller and “PD+” controller as special cases. As natural extension, adaptive control is further researched, and a practical equivalence principle is presented. For the above two cases, results of global noise-to-state stability of closed-loop systems are obtained, and practical trajectory tracking can be achieved under a practical parameters-tuning principle. Simulations are conducted for a nonlinear benchmark system to illustrate the effectiveness and advantages of the proposed new control strategies.

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© 2019 Elsevier Ltd. All rights reserved.

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