Affiliation:
1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
Abstract
This paper is concerned with the tracking control problem for the lower-triangular systems with unknown fractional powers and nonparametric uncertainties. A prescribed performance control approach is put forward as a means of resolving this problem. The proposed control law incorporates a set of barrier functions to guarantee error constraints. Unlike the previous works, our approach works for the cases where the fractional powers, the nonlinearities, and their bounding functions or bounds are totally unknown; no restrictive conditions on the powers, such as power order restriction, specific size limitation or homogeneous condition, are made. Moreover, neither the powers and system nonlinearities nor their bounding functions or bounds are needed. It achieves reference tracking with the preassigned tracking accuracy and convergence speed. In addition, our controller is simple, as it does not necessitate parameter identification, function approximation, derivative calculation, or adding a power integrator technique. At the end, a comparative simulation demonstrates the effectiveness and advantage of the proposed approach.
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities of China
Subject
Statistics and Probability,Statistical and Nonlinear Physics,Analysis
Reference50 articles.
1. A dynamic model used for controller design of a coal fired once-through boiler-turbine unit;Liu;Energy,2015
2. Krstic, M., Kanellakopoulos, I., and Kokotovic, P.V. (1995). Nonlinear and Adaptive Control Design, Wiley.
3. Output Tracking of High-order stochastic nonlinear systems with application to benchmark mechanical system;Xie;IEEE Trans. Autom. Control,2010
4. Adaptive output tracking of inherently nonlinear systems with nonlinear parameterization;Lin;IEEE Trans. Autom. Control,2003
5. Adaptive state-feedback stabilization of high-order stochastic systems with nonlinear parameterization;Xie;Automatica,2009
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献