An Adaptive Variable Structure Controller for Linearizable Systems
نویسندگان
چکیده
منابع مشابه
Variable Structure Behavioural Controller for Multi-agent Systems
In previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. Application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. The controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main is...
متن کاملA switching adaptive controller for feedback linearizable systems
One of the main open problems in the area of adaptive control of linear-in-the-parameters feedback linearizable systems is the computation of the feedback control law when the identification model becomes uncontrollable. In this paper, the authors propose a switching adaptive control strategy that overcomes this problem. The proposed strategy is applied to nth-order feedback linearizable system...
متن کاملvariable structure behavioural controller for multi-agent systems
in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...
متن کاملVariable Structure Adaptive Backstepping Controller
This paper presents a Variable Structure Adaptive Backstepping Controller (VS-ABC) for plants with relative degree one, using only input/output measurements. Instead of traditional integral adaptive laws for estimating the plant parameters, switching laws are used to increase robustness to parametric uncertainties and disturbances, as well as, to improve transient response. Moreover, the contro...
متن کاملAn adaptive learning controller for MIMO uncertain feedback linearizable nonlinear systems
Most of available results in adaptive learning controllers (ALCs) with input learning technique have considered the single-input single-output nonlinear systems. This paper presents an ALC for MIMO uncertain feedback linearizable systems whose uncertainty is in their linear parameters. Since only an output signal is available for measurement, a high gain observer is used to estimate the unmeasu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of King Abdulaziz University-Engineering Sciences
سال: 2002
ISSN: 1319-1047,1658-4260
DOI: 10.4197/eng.14-1.4