Rigid-link manipulators: Model-free control

Gerasimos Rigatos*, Krishna Busawon

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


The chapter analyzes model-free nonlinear control approaches for multi-DOF rigid-link robots, based on Lyapunov methods. There, one comes against problems of minimization of Lyapunov functions so as to ensure the asymptotic stability of the control loop. Model-free control takes often the form of indirect adaptive control. In such a case the design of the controller is not based on prior knowledge of the robot’s dynamics. With the use of adaptive algorithms and elaborated estimation methods it is possible to identify in real-time the unknown dynamics of the robots and subsequently to use this information in the control loop, thus arriving at indirect adaptive control schemes. Finally, the development of nonlinear state-estimation methods for robotic manipulators allows the implementation of feedback control through measuring of only a small number of the robot’s state variables. Global stability is proven for the control loop that comprises both the nonlinear controller of the robot’s dynamics and nonlinear observers that estimate the robot’s state vector from indirect measurements. In particular, the chapter develops the following topics: (a) Model-free adaptive control of rigid-link manipulators using full-state feedback, (ii) Model-free adaptive control of rigid-link manipulators using output feedback, (iii) Model-free adaptive control of the underactuated rotary (Furuta’s) pendulum.

Original languageEnglish
Title of host publicationRobotic Manipulators and Vehicles
Subtitle of host publicationControl, Estimation and Filtering
EditorsGerasimos Rigatos, Krishna Busawon
Number of pages60
ISBN (Electronic)9783319778518
ISBN (Print)9783319778501
Publication statusPublished - 25 May 2018

Publication series

NameStudies in Systems, Decision and Control
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190


Dive into the research topics of 'Rigid-link manipulators: Model-free control'. Together they form a unique fingerprint.

Cite this