Initial conditions optimization of nonlinear dynamic systems with applications to output identification and control

Kasać, Josip and Milić, Vladimir and Novaković, Branko and Majetić, Dubravko and Brezak, Danko (2012) Initial conditions optimization of nonlinear dynamic systems with applications to output identification and control. = Initial conditions optimization of nonlinear dynamic systems with applications to output identification and control. In: 2012 20th Mediterranean Conference on Control and Automation, MED 2012, 03-06.07.2012., Barcelona, Spain.

Text Majetić, Dubravko_Initial conditions optimization of nonlinear dynamic systems with applications to output identification and control.pdf - Published Version Restricted to IP adress Jezik dokumenta:English Download (1MB)

Abstract

The paper presents a gradient-based algorithm for initial conditions optimization of nonlinear multivariable systems with boundary and state vectors constraints. The algorithm has a backward-in-time recurrent structure similar to the backpropagation-through-time (BPTT) algorithm, which is mostly used as a learning algorithm for dynamic neural networks. It is shown that dynamic parameter optimization problem can be formulated as the initial conditions optimization problem. Further, it is shown that output parameter identification and output controller design problems can be formulated as dynamic parameter optimization problem. The effectiveness of the proposed algorithm is demonstrated on the problem of output identification and control of a nonlinear two-mass torsional system.

Item Type:	Conference or Workshop Item (Lecture)
Keywords (Croatian):	dynamic neural networks; dynamic parameters; gradient based algorithm; initial conditions; nonlinear multivariable systems; optimization problems; output controllers; state vector; torsional system; backpropagation algorithms; controllers; learning algorithms; multivariable systems; neural networks; nonlinear dynamical systems; optimization; identification (control systems)
Subjects:	TECHNICAL SCIENCE
Divisions:	900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science:	No
Indexed in Current Contents:	No
Date Deposited:	30 Apr 2015 06:49
Last Modified:	29 Oct 2018 14:01
URI:	http://repozitorij.fsb.hr/id/eprint/3920

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