Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization
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Ponnuthurai N. Suganthan | S. Baskar | M. Willjuice Iruthayarajan | Shi-Zheng Zhao | P. Suganthan | S. Baskar | M. Iruthayarajan | S. Zhao | Shi-Zheng Zhao
[1] Michel Verhaegen,et al. Robust output-feedback controller design via local BMI optimization , 2004, Autom..
[2] L. Coelho,et al. PID control design for chaotic synchronization using a tribes optimization approach , 2009 .
[3] Bor-Sen Chen,et al. A genetic approach to mixed H/sub 2//H/sub /spl infin// optimal PID control , 1995 .
[4] Chun-Liang Lin,et al. Multiobjective PID control for a linear brushless DC motor: An evolutionary approach , 2002 .
[5] José Boaventura Cunha,et al. Multi-Objective Particle Swarm Optimization Design of PID Controllers , 2009, IWANN.
[6] Ajith Abraham,et al. Design of fractional order PIλDμ controllers with an improved differential evolution , 2008, GECCO '08.
[7] Bruce A. Francis,et al. Feedback Control Theory , 1992 .
[8] Karl Johan Åström,et al. PID Controllers: Theory, Design, and Tuning , 1995 .
[9] Ajith Abraham,et al. Design of fractional-order PIlambdaDµ controllers with an improved differential evolution , 2009, Eng. Appl. Artif. Intell..
[10] Bor-Sen Chen,et al. A structure-specified H∞ optimal control design for practical applications: a genetic approach , 1998, IEEE Trans. Control. Syst. Technol..
[11] George F. List,et al. Multiobjective optimization of a plastic injection molding process , 1994, IEEE Trans. Control. Syst. Technol..
[12] Alberto Herreros,et al. Design of PID-type controllers using multiobjective genetic algorithms. , 2002, ISA transactions.
[13] Niahn-Chung Shieh,et al. GA-Based Multiobjective PID Control for a Linear , 2003 .
[14] Rong-Fong Fung,et al. The self-tuning PID control in a slider–crank mechanism system by applying particle swarm optimization approach , 2006 .
[15] Yun Li,et al. PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.
[16] Leandro dos Santos Coelho,et al. Computational intelligence approach to PID controller design using the universal model , 2010, Inf. Sci..
[17] S. Baskar,et al. Evolutionary algorithms based design of multivariable PID controller , 2009, Expert Syst. Appl..
[18] J. Doyle,et al. Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.
[19] Babatunde A. Ogunnaike,et al. MODELING AND CONTROL OF A TEMPERATURE-BASED HIGH-PURITY DISTILLATION COLUMN* , 1997 .
[20] Sunan Wang,et al. Self-organizing genetic algorithm based tuning of PID controllers , 2009, Inf. Sci..
[21] Lothar Thiele,et al. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers , 2006 .
[22] C. AGEES KUMAR,et al. MULTI-OBJECTIVE PID CONTROLLER BASED ON ADAPTIVE WEIGHTED PSO WITH APPLICATION TO STEAM TEMPERATURE CONTROL IN BOILERS , 2010 .
[23] Shiow-Fen Hwang,et al. A Novel Intelligent Multiobjective Simulated Annealing Algorithm for Designing Robust PID Controllers , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[24] Shinn-Ying Ho,et al. Designing structure-specified mixed H/sub 2//H/sub /spl infin// optimal controllers using an intelligent genetic algorithm IGA , 2005, IEEE Transactions on Control Systems Technology.
[25] W. Chang,et al. PID controller design of nonlinear systems using an improved particle swarm optimization approach , 2010 .
[26] Nasser Sadati,et al. Design of an H∞ PID controller using particle swarm optimization , 2009 .
[27] Marco Laumanns,et al. An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method , 2006, Eur. J. Oper. Res..
[28] Ponnuthurai Nagaratnam Suganthan,et al. Two-lbests based multi-objective particle swarm optimizer , 2011 .
[29] Ioannis Kitsios,et al. A genetic algorithm for designing H/sub /spl infin// structured specified controllers , 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).
[30] Peter J. Fleming,et al. Multiobjective gas turbine engine controller design using genetic algorithms , 1996, IEEE Trans. Ind. Electron..
[31] Sanghamitra Bandyopadhyay,et al. Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients , 2007, Inf. Sci..
[32] Bor-Sen Chen,et al. Multiobjective PID control design in uncertain robotic systems using neural network elimination scheme , 2001, IEEE Trans. Syst. Man Cybern. Part A.
[33] Shinn-Ying Ho,et al. OSA: orthogonal simulated annealing algorithm and its application to designing mixed H2/H∞ optimal controllers , 2004, IEEE Trans. Syst. Man Cybern. Part A.
[34] Toshiharu Sugie,et al. Robust PID controller tuning based on the constrained particle swarm optimization , 2008, Autom..
[35] Nasser Sadati,et al. Design of a fractional order PID controller for an AVR using particle swarm optimization , 2009 .
[36] Paulo Ferreira,et al. Multiobjective H/sub 2//H/sub /spl infin// guaranteed cost PID design , 1997 .
[37] J. G. Ziegler,et al. Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.
[38] Kiam Heong Ang,et al. PID control system analysis and design , 2006, IEEE Control Systems.
[39] Renato A. Krohling,et al. Design of optimal disturbance rejection PID controllers using genetic algorithms , 2001, IEEE Trans. Evol. Comput..
[40] Hassan Bevrani,et al. Multiobjective PI/PID Control Design Using an Iterative Linear Matrix Inequalities Algorithm , 2007 .
[41] Yujia Wang,et al. Particle swarm optimization with preference order ranking for multi-objective optimization , 2009, Inf. Sci..
[42] M. G. Singh. Control System Engineering , 1985 .
[43] H. Marquez,et al. Robust Controller Design And Pid Tuning For Multivariable Processes , 2002 .
[44] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[45] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.