✦ LIBER ✦

A regulator for a class of unknown continuous-time nonlinear systems

✍ Scribed by Anthony Brockwell

Publisher: Elsevier Science
Year: 2001
Tongue: English
Weight: 270 KB
Volume: 44
Category: Article
ISSN: 0167-6911
DOI: 10.1016/s0167-6911(01)00160-8

No coin nor oath required. For personal study only.

✦ Synopsis

We introduce a control law for a class of unknown nonlinear continuous-time systems in which full state measurements are available. We show that as long as a certain feedback gain parameter is su ciently large, the closed-loop system is stable. Furthermore, the magnitude of the control is bounded in the limit. As a corollary to the main result, we show that ÿrst-order nonlinear systems in the class we consider can be stabilized using linear proportional integral controllers, and we give explicit tuning rules for these controllers.

📜 SIMILAR VOLUMES

Nonlinear regulation for a class of disc

Nonlinear regulation for a class of discrete-time systems

✍ B. Castillo; S. Di Gennaro; S. Monaco; D. Normand-Cyrot 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 529 KB

Control design for a class of nonlinear

Control design for a class of nonlinear continuous-time systems

✍ Eugênio B. Castelan; Sophie Tarbouriech; Isabelle Queinnec 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 612 KB

This paper addresses the control design problem for a certain class of continuous-time nonlinear systems subject to actuator saturations. The system under consideration consists of a system with two nested nonlinearities of different type: saturation nonlinearity and cone-bounded nonlinearity. The c

A quadratic regulator with cheap control

A quadratic regulator with cheap control for a class of nonlinear systems

✍ J. T. Lee; Z. N. Bien 📂 Article 📅 1987 🏛 Springer 🌐 English ⚖ 574 KB

Output tracking of a class of unknown no

Output tracking of a class of unknown nonlinear discrete-time systems using neural networks

✍ Jui-Hong Horng 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 698 KB

In this paper, an adaptive controller based on neural networks is derived,for controlling a class of unknown nonlinear discrete-time systems. A two-layered neural network is used to characterize the input-output behavior of the unknown systems. The Widrow-Hoff delta rule is the learning algorithm us

Neural adaptive control for a class of n

Neural adaptive control for a class of nonlinear systems with unknown deadzone

✍ Zhonghua Wang; Yong Zhang; Hui Fang 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 401 KB

Global robust output regulation for a cl

Global robust output regulation for a class of nonlinear systems

✍ Andrea Serrani; Alberto Isidori 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 97 KB

The problem of global robust output regulation is solved for a class of nonlinear systems driven by a linear neutrally stable exosystem. The proposed scheme makes use of a dynamic controller which processes information from the regulated error only. Robust regulation is achieved for every initial co