Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes-Reference-Cited by-同舟云学术

Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes

Published:2015-09 Issue: Volume:58 Page:35-49
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Das Saptarshi^ORCID,Pan Indranil,Das Shantanu

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference54 articles.

1. Optimal control: linear quadratic methods;Anderson,1990

2. PID control in the third millennium, advances in industrial control;Vilanova,2012

3. G.-R. Yu and R.-C. Hwang, Optimal PID speed control of brush less DC motors using LQR approach. In: Proceedings of the 2004 IEEE international conference on systems, man and cybernetics. 2004. 1, p.473–478.

4. PI/PID controller tuning via LQR approach;He;Chem Eng Sci,2000

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