Results 261 to 270 of about 79,746 (274)
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2005
This chapter presents an LMI-based method for design of control systems in accordance with the principle of matching and the principle of inequalities. The inputs are assumed to be persistent and/or transient. From the exponential convergence conditions of the unit impulse and the unit step responses, matrix inequalities are derived as a sufficient ...
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This chapter presents an LMI-based method for design of control systems in accordance with the principle of matching and the principle of inequalities. The inputs are assumed to be persistent and/or transient. From the exponential convergence conditions of the unit impulse and the unit step responses, matrix inequalities are derived as a sufficient ...
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Conic sector synthesis - LMI approach
Guidance, Navigation, and Control Conference, 1996An LMI approach for conic sector synthesis is presented. It includes strictly bounded real and strongly positive real synthesis procedures as special cases. The resulting LMI is expressed directly in terms of the original plant state-space matrices.
C.-H. Huang, L. Turan, M. Safonov
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2003
This chapter provides a brief introduction to charged particle optics. It is not meant to be a survey; rather, our intent is to provide enough information to uynderstand how the optical system of focused ion beam system works. We also provide a method to define the resolution of a focused ion beam system in a way that gives a metric for optimization or
Jon Orloff, Mark Utlaut, Lynwood Swanson
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This chapter provides a brief introduction to charged particle optics. It is not meant to be a survey; rather, our intent is to provide enough information to uynderstand how the optical system of focused ion beam system works. We also provide a method to define the resolution of a focused ion beam system in a way that gives a metric for optimization or
Jon Orloff, Mark Utlaut, Lynwood Swanson
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2014
Hamilton invented state space models of nonlinear dynamic systems with his generalized momenta work in the 1800s, but, at that time, the lack of computational tools prevented broad acceptance of the first order form of dynamic equations. With the rapid development of computers in the 1960s, State Space models evoked a formal control theory for ...
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Hamilton invented state space models of nonlinear dynamic systems with his generalized momenta work in the 1800s, but, at that time, the lack of computational tools prevented broad acceptance of the first order form of dynamic equations. With the rapid development of computers in the 1960s, State Space models evoked a formal control theory for ...
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Computational issues in solving LMIs
[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 2002Optimization methods, which have been applied to linear matrix inequality (LMI) problems are described and results are noted. Descent methods are briefly described, and one descent method approached for solving LMI problems is discussed. Convex programming methods and applications are also outlined. Interior point methods are then discussed, and recent
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