Evolutionary linearisation in the frequency domain

Buy article PDF
© IEE
Published 28/07/2012

Abstract

Few solutions have been found so far to frequency domain MIMO system linearisation problems owing to practical difficulties in obtaining derivatives of the nonlinear model. The authors develop an evolutionary linearisation technique to achieve an automated linearisation goal, directly using the plant I/O data. It allows linearisation for an entire operating region and for the entire interested frequency range. the benefits of which cannot be matched by existing methods.

Inspec keywords: control system analysis; nonlinear control systems; linearisation techniques; MIMO systems; frequency-domain analysis

Other keywords: frequency domain; linearisation; plant I/O data; MIMO system; operating region; nonlinear model

Subjects: Nonlinear control systems; Control system analysis and synthesis methods; Multivariable control systems

References

    1. 1)
      • Franklin, G.F., Powell, J.D., Emami-Naeini, A.: Feedback control of dynamic systems, 1991 (Addison-Wesley)
    2. 2)
      • Renders, J.M., Bersini, H.: `Hybridizing evolution algorithms with hill-climbing methods for globaloptimisation: Two possible ways', Proc. 1st IEEE Int. Conf. Evolutionary Computing, IEEE WorldCong. Comp. Intel., 1994, 1, Orlando, p. 312–317
    3. 3)
      • Tan, K.C., Li, Y., Murray-Smith, D.J., Sharman, K.C.: `System identification and linearisation using evolution algorithms withsimulated annealing', Proc. 1st IEE/IEEE Int. Conf. Genetic Algorithms in Eng. Syst.:Innovations and Appl., 1995, Sheffield, United Kingdom, p. 164–169
Print this page
This is a required field
Please enter a valid email address