1. Adaptive asymptotic tracking control design for high-order uncertain nonlinear systems.
- Author
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Zhang, Haoyue and Ding, Shihong
- Subjects
- *
ADAPTIVE control systems , *NONLINEAR systems , *UNCERTAIN systems , *COORDINATE transformations , *TIME-varying systems , *CLOSED loop systems , *INTEGRATORS , *LYAPUNOV functions - Abstract
• In this work, a new general control strategy for the asymptotic tracking problem of high-order uncertain nonlinear systems is proposed so that the convergence of tracking error is not affected by the initial value and the Lyapunov function. • The proposed approach ensures that all signals in the whole closed-loop system are bounded, the adaptive compensation is performed for each step, which avoids overestimating parameters and overcomes the inherent nonlinear obstacles of the system. • The flexibility of the control design is increased by introducing the ingenious coordinate transformations and algebraic transformations. The adaptive technology and the technique of adding a power integrator are successfully verified to update and extended to an universal adaptive asymptotic tracking control, which also provides guidance for constructing general adaptive controllers and verifying asymptotic convergence. This paper investigates the asymptotic tracking control of uncertain high-order nonlinear systems with time-varying desired signals.A new universal adaptive tracking control strategy is introduced, which combines the technique of adding a power integrator, adaptive technology and a series of algebraic transformations to achieve asymptotic tracking performance successfully. Compared to the traditional tracking control strategies, the proposed control scheme guarantees that the output tracking error of the high-order nonlinear system asymptotically converges to zero and is no longer limited to a time-varying compact domain. While ensuring that all signals in the closed-loop system are bounded, the controller also has sufficient ability to compensate for the unknown quantity, virtual control coefficient and parameter uncertainty of the system. Finally, the feasibility and effectiveness of the theoretical results are verified by a simulation example. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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