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Constrained Control and Estimation: An Optimisation ApproachDecember 2010
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-1-84996-883-6
Published:08 December 2010
Pages:
411
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Abstract

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control. - Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.

Cited By

  1. Wang W and Zhao H (2018). Boxed-constraint least mean square algorithm and its performance analysis, Signal Processing, 144:C, (201-213), Online publication date: 1-Mar-2018.
  2. Garone E, Di Cairano S and Kolmanovsky I (2017). Reference and command governors for systems with constraints, Automatica (Journal of IFAC), 75:C, (306-328), Online publication date: 1-Jan-2017.
  3. Petrosian O and Barabanov A (2017). Looking Forward Approach in Cooperative Differential Games with Uncertain Stochastic Dynamics, Journal of Optimization Theory and Applications, 172:1, (328-347), Online publication date: 1-Jan-2017.
  4. Wigren T (2016). Low Frequency Sensitivity Function Constraints for Nonlinear ź2-stable Networked Control, Asian Journal of Control, 18:4, (1200-1218), Online publication date: 1-Jul-2016.
  5. Al-Matouq A and Vincent T (2015). Multiple window moving horizon estimation, Automatica (Journal of IFAC), 53:C, (264-274), Online publication date: 1-Mar-2015.
  6. Fagiano L and Teel A (2013). Generalized terminal state constraint for model predictive control, Automatica (Journal of IFAC), 49:9, (2622-2631), Online publication date: 1-Sep-2013.
  7. Fagiano L, Canale M and Milanese M (2012). Brief paper, Automatica (Journal of IFAC), 48:1, (191-197), Online publication date: 1-Jan-2012.
  8. Kofman E, De Doná J and Seron M (2012). Probabilistic set invariance and ultimate boundedness, Automatica (Journal of IFAC), 48:10, (2670-2676), Online publication date: 1-Oct-2012.
  9. Medioli A, Seron M and Middleton R (2011). Maximal controllability of input constrained unstable systems by the addition of implicit constraints, Automatica (Journal of IFAC), 47:10, (2260-2266), Online publication date: 1-Oct-2011.
  10. ACM
    Wongpiromsarn T, Topcu U and Murray R Receding horizon control for temporal logic specifications Proceedings of the 13th ACM international conference on Hybrid systems: computation and control, (101-110)
  11. Goodwin G, Seron M, Middleton R, Zhang M, Hennessy B, Stone P and Menabde M (2006). Receding horizon control applied to optimal mine planning, Automatica (Journal of IFAC), 42:8, (1337-1342), Online publication date: 1-Aug-2006.
  12. MüLler C, Zhuo X and De Doná J (2006). Duality and symmetry in constrained estimation and control problems, Automatica (Journal of IFAC), 42:12, (2183-2188), Online publication date: 1-Dec-2006.
Contributors
  • The University of Newcastle, Australia
  • The University of Newcastle, Australia
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