While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. The balance between structural and optimization aspects of the method is dependent on the system being considered so the many examples aim to transmit a mode of thought rather than a ready-to-use recipe; they include:
- double inverted pendulum;
- non-holonomic systems in chained form;
- snake board;
- missile in intercept mission;
- polymerization reactor;
- walking robot;
- under-actuated satellite in failure mode.
In addition, the basic stability results under receding horizon control schemes are revisited using a sampled-time, low-dimensional control parameterization that is mandatory for fast computation and some novel formulations are proposed which offer promising directions for future research.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Mazen Alamir has published many times in peer-reviewed journals (including several times in Automatica and Control Engineering Practice). He holds two patents concerning the remote localisation and estimation of speed for a moving vehicle. Doctor Alamir is a member of the IFAC technical committee on nonlinear control and, as such, has a good profile among his fellow control engineers, he is also the co-ordinator of the French CNRS workgroup on nonlinear predictive control and is a member of the French National Universities Council.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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