| [1] |
Peter J Gawthrop.
Physical model-based intermittent predictive control.
In T. Kaczorek, editor, Proceedings of the 8th IEEE
International Conference on Methods and Models in Automation and Robotics,
pages 707--712, Szczecin, Poland, September 2002.
[ bib |
.pdf ]
It is shown that the concept of intermittent control, to be found in the physiological literature, provides a useful alternative to both continuous-time and discrete-time approaches to control system design. In particular an intermittent version of predictive pole placement (PPP) is presented. This intermittent predictive pole placement algorithm is illustrated in the context of a non-linear pendulum-on-cart system.
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| [2] |
Peter J Gawthrop and Liuping Wang.
Infinite-impulse and finite-impulse response filters for
continuous-time parameter estimation.
In Proceedings of the 15th IFAC World Congress, Barcelona,
Spain, 2002.
[ bib |
.pdf ]
This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in a discrete form with carefully chosen coefficients to approximate the derivatives of the continuous time variables. The strength and weakness of each approach are discussed and demonstrated by a set of simulation examples.
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