Adaptive Control of Nonlinear Pure-feedback Systems with Output Constraints: Integral Barrier Lyapunov Functional Approach

作者：Kim Bong Su; Yoo Sung Jin^*

来源：International Journal of Control Automation and Systems, 2015, 13(1): 249-256.

DOI：10.1007/s12555-014-0018-3

• Adaptive control
• dynamic surface design
• integral barrier Lyapunov functional
• pure-feedback systems

This paper studies an adaptive control problem of completely non-affine pure-feedback systems with an output constraint. The implicit function theorem and the mean value theorem are employed to deal with unknown output-constrained non-affine nonlinearities. Then, a dynamic surface design approach based on an appropriate Integral Barrier Lyapunov Functional is presented to design an adaptive controller ensuring both the constraint satisfaction and the desired tracking ability. For the controller design, the function approximation technique using neural networks is used for estimating unknown nonlinear terms with control direction nonlinearities. It is shown that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking error converges to an adjustable neighborhood of the origin while the output constraint is never violated.

• 出版日期2015-2