Robust adaptive finite-time parameter estimation and control for robotic systems
نویسندگان
چکیده
This is the peer reviewed version of the following article: Na, J., Mahyuddin, M. N., Herrmann, G., Ren, X., and Barber, P. (2015) Robust adaptive finite-time parameter estimation and control for robotic systems. Int. J. Robust. Nonlinear Control, 25: 3045–3071, which has been published in final form at doi: 10.1002/rnc.3247. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for SelfArchiving.
منابع مشابه
Designing a Robust Control Scheme for Robotic Systems with an Adaptive Observer
This paper introduces a robust task-space control scheme for a robotic system with an adaptive observer. The proposed approach does not require the availability of the system states and an adaptive observer is developed to estimate the state variables. These estimated states are then used in the control scheme. First, the dynamic model of a robot is derived. Next, an observer-based robust contr...
متن کاملAdaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
This paper investigates the robust decentralized nonlinear control of power flow in a power system using a new configuration of UPFC. This structure comprises two shunt converters and one series capacitor called as hybrid power flow controller (HPFC). A controller is designed via control Lyapunov function (CLF) and adaptive observer to surmount the problems of stability such as tracking desired...
متن کاملAn indirect adaptive neuro-fuzzy speed control of induction motors
This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...
متن کاملAdaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
متن کاملDevelopment of a Robust Observer for General Form Nonlinear System: Theory, Design and Implementation
The problem of observer design for nonlinear systems has got great attention in the recent literature. The nonlinear observer has been a topic of interest in control theory. In this research, a modified robust sliding-mode observer (SMO) is designed to accurately estimate the state variables of nonlinear systems in the presence of disturbances and model uncertainties. The observer has a simple ...
متن کامل