TY - BOOK ID - 5451946 TI - Stabilization of nonlinear systems using receding-horizon control schemes : a parametrized approach for fast systems PY - 2006 VL - 339 SN - 9781846284700 1846284708 9786610949076 1280949074 1846284716 PB - London, United Kingdom : Springer, DB - UniCat KW - Nonlinear control theory KW - Automatic control KW - Commande non linéaire KW - Commande automatique KW - Mathematical models KW - Modèles mathématiques KW - Automatic control -- Mathematical models. KW - Electronic books. -- local. KW - Nonlinear control theory. KW - Mechanical Engineering - General KW - Mechanical Engineering KW - Engineering & Applied Sciences KW - Mathematical models. KW - Engineering. KW - Chemical engineering. KW - System theory. KW - Calculus of variations. KW - Automotive engineering. KW - Control engineering. KW - Robotics. KW - Mechatronics. KW - Control. KW - Control, Robotics, Mechatronics. KW - Systems Theory, Control. KW - Calculus of Variations and Optimal Control; Optimization. KW - Automotive Engineering. KW - Industrial Chemistry/Chemical Engineering. KW - Control theory KW - Nonlinear theories KW - Systems theory. KW - Mathematical optimization. KW - Control and Systems Theory. KW - Chemistry, Industrial KW - Engineering, Chemical KW - Industrial chemistry KW - Engineering KW - Chemistry, Technical KW - Metallurgy KW - Construction KW - Industrial arts KW - Technology KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Systems, Theory of KW - Systems science KW - Science KW - Philosophy KW - Isoperimetrical problems KW - Variations, Calculus of KW - Mechanical engineering KW - Microelectronics KW - Microelectromechanical systems KW - Automation KW - Machine theory KW - Control engineering KW - Control equipment KW - Engineering instruments KW - Programmable controllers UR - https://www.unicat.be/uniCat?func=search&query=sysid:5451946 AB - 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. ER -