Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks

Zayed, Ali S.; Hussain, Amir

doi:10.1109/inmic.2003.1416731

Cited by 1 publication

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…can be used to further reduce the magnitude of control action or to achieve better set point tracking [6,9] compared to the computationally less expensive PID poleplacement and conventional self-tuning PID controllers.…”

Section: Discussionmentioning

confidence: 99%

“…A detailed stability and parameters convergence analysis for an adaptive pole-zero placement controller has been carried out in [ 131 …”

Section: Discussionmentioning

confidence: 99%

“…For (16) to have a unique solution, the order of the regulator polynomials and the number o f the desired closed loop poles have to be [6,7]:…”

Section: A ( : -~V E H ' +~' ) J~(mentioning

confidence: 99%

“…4) In many of self-tuning based minimum variance control designs (see for example [3][4][5]) the Nning parameten must be selected using a trial and error procedure. Alternatively, these tuning parameters can be automatically and implicitly set on line by specifying desired closed loop poles [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model

Zayed

Hussain

7th International Multi Topic Conference, 2003. INMIC 2003.

Self Cite

View full text Add to dashboard Cite

Abstracf-Thi,y puper proposes (1 new non-lineor adoptive PID hosed multiple controller incorporating a neural network learning sub-model. The unknown non-linear plant is represenred b.v an equivalent model consisring of a linear time-vaving sub-model plus a non-linear neuralnetworks based learning sub-model. The proposed multiple controller merhodologv provides the designer with a choice of using either o conwntionol PID Ser/tuning controller. a PID based pole-placement conrroller, or 4 nek.1.v proposed PID based polezero placement controller through the Pick U switch. Simulation resulrs using il non-linear plant model demonstrare rhe effectiveness of the proposed multiple controller. wirh respect to crocking set-point changes w,ith rhe desired speed of response, penalising excessive control action, and ils application to non-minimum phase and unstable s.vs1em.T.

show abstract

Section: Discussionmentioning

confidence: 99%

“…A detailed stability and parameters convergence analysis for an adaptive pole-zero placement controller has been carried out in [ 131 …”

Section: Discussionmentioning

confidence: 99%

“…For (16) to have a unique solution, the order of the regulator polynomials and the number o f the desired closed loop poles have to be [6,7]:…”

Section: A ( : -~V E H ' +~' ) J~(mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model

Zayed

Hussain

7th International Multi Topic Conference, 2003. INMIC 2003.

Self Cite

View full text Add to dashboard Cite

show abstract

Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks

Cited by 1 publication

References 12 publications

Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model

Novel non-linear PID based multiple-controller incorporating a neural network learning sub-model

Contact Info

Product

Resources

About