ویراساینس.
سند علمی

Robust adaptive control of uncertain non-linear systems with non-linear parameterisation

Yusheng Liu

چکیده

Abstract: Many physical systems such as welding processes are typically non-linear and uncertain. To control such systems effectively the control scheme requires to be robust with respect to varying operating conditions. On the basis of robust control Lyapunov function method and adaptive non-linear damping approach, this paper presents a robust adaptive control scheme for uncertain non-linear systems with non-linear parameterisation. With the proposed method, estimation of the unknown parameters of the system and generation of an additional signal are not required. There is only one adaptive parameter no matter how high the order of the system is and how many unknown parameters there are. It is shown that the proposed robust adaptive control scheme guarantees the stability of the closed-loop system in the presence of unknown parameters, disturbances, non-linear uncertainties and unmodelled dynamics. Simulation results illustrate the effectiveness of the proposed robust adaptive controller.

اسناد مشابه

  • Robust fuzzy control for non-linear systems with uncertainties: A Takagi- Sugeno model approach

    مقاله‌ی دسترسی آزاد۲۰۲۲International Journal of Advanced and Applied Sciences['Alsaket et al.', '']

    This article studies the problem of robust control design for a class uncertain nonlinear systems using Takagi–Sugeno (TS) fuzzy models. The objective this study is to state feedback and an observer-based controller such that closed-loop system asymptotically stable. For purpose,

  • Robust adaptive control for nonlinear uncertain systems

    سند علمی۲۰۰۳AutomaticaWassim M. Haddad, Tomohisa Hayakawa, VijaySekhar Chellaboina

    A direct robust adaptive control framework for non linear uncertain systems with constant linearly parame terized uncertainty and nonlinear state dependent uncer tainty is developed The proposed framework is Lyap unov based and guarantees partial asymptotic robust sta bility of t

  • Robust stability of uncertain piecewise-linear systems: LMI approach

    سند علمی۲۰۱۰Abdallah BenAbdallah, Mohamed Ali Hammami, Jalel Kallel

    In this paper we propose sufficient conditions for the robust stability of time-invariant uncertain piecewise-linear systems using homogeneous polynomial Lyapunov functions. The proposed conditions are expressed in terms of linear matrix inequalities, which can be numerically det

  • New Approach in Computational Cybernetics for Intelligent Adaptive Control of Non-linear Systems

    سند علمی۲۰۰۵B. Frankovič

    In this paper possible extensions of the application of a new branch of Computational Cybernetics is considered. Originally the method was developed for the adaptive control of various, incompletely and inaccurately modeled mechanical systems described by the Euler-Lagrange equat

  • Extended dynamic fuzzy logic system (DFLS) based indirect stable adaptive control of non-linear systems

    سند علمی۲۰۰۴Appl. Soft Comput.O. V. Ramana Murthy, R. K. P. Bhatt, Nesar Ahmad

    The dynamic fuzzy logic system (DFLS) consists of static fuzzy logic system added with a dynamic element—the integrator—with a feedback constant α. It was shown to possess the important universal approximation capability. Further, Lee and Vukovich developed DFLS based stable indi

  • On the stability of T-S fuzzy control for non-linear systems

    سند علمی۱۹۹۹EUSFLAT-ESTYLF Joint Conf.Zoe Doulgeri, Ioannis B. Theocharis

    The main feature of a Takagi-Sugeno (T-S) fuzzy model is to express the local dynamics of each fuzzy implication (rule) by a linear system model. The overall fuzzy model of the system is achieved by fuzzy “blending” of the linear system models. Parallel or feedback connections of