By Huang Sunan PhD, Tan Kok Kiong PhD, Lee Tong Heng PhD (auth.)
The presence of substantial time delays within the dynamics of many commercial tactics, resulting in tough difficulties within the linked closed-loop regulate platforms, is a familiar phenomenon. The functionality plausible in traditional suggestions keep an eye on structures might be considerably degraded if an business technique has a comparatively huge time hold up in comparison with the dominant time consistent. less than those conditions, complicated predictive keep an eye on is important to enhance the functionality of the regulate method considerably.
The publication is a targeted remedy of the subject material, together with the basics and a few state of the art advancements within the box of predictive regulate. 3 major schemes for complex predictive keep watch over are addressed during this book:
• Smith Predictive Control;
• Generalised Predictive Control;
• a kind of predictive keep an eye on in keeping with Finite Spectrum Assignment.
A monstrous a part of the booklet addresses program concerns in predictive regulate, supplying a number of attention-grabbing case experiences for extra application-oriented readers. hence, whereas the booklet is written to function a complicated regulate reference on predictive keep watch over for researchers, postgraduates and senior undergraduates, it's going to be both necessary to these commercial practitioners who're willing to discover using complicated predictive regulate in genuine difficulties. The prerequisite for gaining greatest make the most of this publication is a easy wisdom of keep an eye on platforms, resembling that imparted through a primary undergraduate path on keep an eye on structures engineering.
Advances in business Control goals to file and inspire the move of expertise up to the mark engineering. The speedy improvement of regulate know-how has an impression on all parts of the keep watch over self-discipline. The sequence bargains a chance for researchers to provide a longer exposition of recent paintings in all features of business control.
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Additional info for Applied Predictive Control
1u+. 58) is also met. To illustrate further, it is assumed that, without loss of generality, + Yd 2 u+ - u+ - Llu+ ===} Llu+ - Yd , Yd 2 -Yd. 61 ) holds. Note that u+ - Llu+ ::::; u+ - Llu(t) since Llu(t) ::::; Llu+; -u+ - Llu(t) < -u+ + Llu+ since Llu(t) 2 -Llu+. 60), it follows that This implies that Therefore, the conclusion follows. The above results show that the saturating GPC problem can be converted equivalently to one involving a linear system subject to input saturation via linear feedback.
In this case, the controls may be 3. Generalised Predictive Controller 51 saturated such that the calculated controls may be different from the real control inputs. Consider the following system: z(t + 1) = Az(t) + Bu(t). 52). 65) and a diagonal matrix p(z) = diag[ E- Ls , and lm(w) is the bound on the mul- tiplicative uncertainty lm(jw). Furthermore, both ~~:? and ~~;? are strictly proper and they have the same number of unstable poles. , Iw(jw) - 11 < 1, -00
Applied Predictive Control by Huang Sunan PhD, Tan Kok Kiong PhD, Lee Tong Heng PhD (auth.)
E- Ls , and lm(w) is the bound on the mul- tiplicative uncertainty lm(jw). Furthermore, both ~~:? and ~~;? are strictly proper and they have the same number of unstable poles. , Iw(jw) - 11 < 1, -00