Title
Low-Complexity Prescribed Performance Control of Uncertain MIMO Feedback Linearizable Systems.
Abstract
A continuous, state-feedback controller guaranteeing zero overshoot, preselected bounds on the minimum admissible convergence rate and maximum allowable steady-state values of the output tracking error is proposed for a class of uncertain, multi-input, multi-output nonlinear systems. Contrary to the current state-of-the-art, a decisive step towards minimizing controller implementation complexity is taken by designing a static, approximation-free control scheme, defined by simple analytical expressions that scale well even for high relative degree systems. Simulations on a 2-dof robotic manipulator clarify and verify the approach.
Year
DOI
Venue
2016
10.1109/TAC.2015.2480232
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Neural networks,Convergence,Steady-state,MIMO,Complexity theory,Trajectory
Convergence (routing),Control theory,Mathematical optimization,Nonlinear system,Expression (mathematics),Control theory,Overshoot (signal),MIMO,Rate of convergence,Mathematics,Tracking error
Journal
Volume
Issue
ISSN
61
7
0018-9286
Citations 
PageRank 
References 
18
0.65
7
Authors
2
Name
Order
Citations
PageRank
Achilles Theodorakopoulos1603.49
George A. Rovithakis274945.73