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

施加

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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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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令人作呕

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