Nonlinear nonconvex optimization by evolutionary algorithms applied to robust control.

Cervera, Joaquín; Baños, Alfonso

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Displaying similar documents to “Nonlinear nonconvex optimization by evolutionary algorithms applied to robust control.”

Some applications of fractional calculus in engineering.

Machado, J.A.Tenreiro, Silva, Manuel F., Barbosa, Ramiro S., Jesus, Isabel S., Reis, Cecília M., Marcos, Maria G., Galhano, Alexandra F. (2010)

Mathematical Problems in Engineering

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The design of QFT robust compensators with magnitude and phase specifications.

Moreno, José Carlos, Baños, Alfonso, Berenguel, Manuel (2010)

Mathematical Problems in Engineering

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A multivariable multiobjective predictive controller

Faten Ben Aicha, Faouzi Bouani, Mekki Ksouri (2013)

International Journal of Applied Mathematics and Computer Science

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Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thus, the purpose of this work is the automatic adjustment of the MGPC synthesis by simultaneously...

The finite inclusions theorem: a tool for robust design

Theodore E. Djaferis (1998)

Kybernetika

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Methods for robust controller design, are an invaluable tool in the hands of the control engineer. Several methodologies been developed over the years and have been successfully applied for the solution of specific robust design problems. One of these methods, is based on the Finite Inclusions Theorem (FIT) and exploits properties of polynomials. This has led to the development of FIT-based algorithms for robust stabilization, robust asymptotic tracking and robust noise attenuation design....

Mixed $H_{2} / H_{\infty}$ control of flexible structures.

De Farias, D.P., De Oliveira, M.C., Geromel, J.C. (2001)

Mathematical Problems in Engineering

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Fopid Controller Design for Robust Performance Using Particle Swarm Optimization

Zamani, Majid, Karimi-Ghartemani, Masoud, Sadati, Nasser (2007)

Fractional Calculus and Applied Analysis

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Mathematics Subject Classification: 26A33; 93C15, 93C55, 93B36, 93B35, 93B51; 03B42; 70Q05; 49N05 This paper proposes a novel method to design an H∞ -optimal fractional order PID (FOPID) controller with ability to control the transient, steady-state response and stability margins characteristics. The method uses particle swarm optimization algorithm and operates based on minimizing a general cost function. Minimization of the cost function is carried out subject to the H∞...

Shape optimization of piezoelectric sensors or actuators for the control of plates

Emmanuel Degryse, Stéphane Mottelet (2005)

ESAIM: Control, Optimisation and Calculus of Variations

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This paper deals with a new method to control flexible structures by designing non-collocated sensors and actuators satisfying a pseudo-collocation criterion in the low-frequency domain. This technique is applied to a simply supported plate with a point force actuator and a piezoelectric sensor, for which we give some theoretical and numerical results. We also compute low-order controllers which stabilize pseudo-collocated systems and the closed-loop behavior show that this approach...

Optimization shape of variable capacitance micromotor using differential evolution algorithm.

Ketabi, A., Navardi, M.J. (2010)

Mathematical Problems in Engineering

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