Titlebook: Robust Control Design Using H-∞ Methods; Ian R. Petersen,Valery A. Ugrinovskii,Andrey V. Sa Book 2000 Springer-Verlag London 2000 H-infini

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Nonlinear versus linear control,dratic constraints. In these problems, we will be interested in the question of whether any advantage can be obtained via the use of a nonlinear controller as opposed to a linear controller. This question is of interest since if no advantage can be obtained via the use of nonlinear controller, then

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Missile autopilot design via minimax optimal control of stochastic uncertain systems,Gaussian (LQG) method; e.g., see [3, 46]. In particular, the use of a quadratic cost function is well motivated in many control problems. Also, the stochastic white noise model is often a good approximation to the noise found in practical control problems. These facts, together with the fact that th

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弄臟

LAIR

omics, as well as to contribute to the further development of the mathematical te- niques of optimization over time. The survey included in this volume all have as a common starting point the seminal contributi978-3-642-06886-7978-3-540-32310-5

Ablation

Guaranteed cost control of time-invariant uncertain systems,tic cost functional; e.g., see [35, 13, 14]. Such a controller is referred to as a quadratic guaranteed cost controller. We consider the problem of quadratic guaranteed cost control in Section 5.2. The uncertainties under consideration in Section 5.2 are norm-bounded uncertainties. The main result t

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令人作嘔

To date the driving force has been Operational Re- search and Integer Programming as the major extention of the well-developed subject of Linear Programming. However, the subject also brings results in Computer Science, Graph Theory, Logic and Combinatorics, all of which are reflected in this book.

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Ian R. Petersen BE,MSEE,PhD,Valery A. Ugrinovskii PhD,Andrey V. Savkin PhDtest may be outsourced at a higher cost. The major decisions in the model are: (i) the decision to perform in-house or outsource a testing task, (ii) the assignment of resources to testing tasks, and (iii) the sequencing and timing of tests. The objective is to maximize the net present value of mult