Titlebook: Dynamic Programming for Impulse Feedback and Fast Controls; The Linear Systems C Alexander B. Kurzhanski,Alexander N. Daryin Book 2020 Spri

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Impulse Control Under Uncertaintyare assumed to be unknown but bounded by a given convex set. Once again the key element of the solution is the Principle of Optimality and its infinitesimal counterpart, the related Dynamic Programming Equation, [.]. The corresponding value function may be calculated here as the limit of optimal val

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State Estimation Under Ordinary Impulsive Inputsres to treat the so-called “observation problem” which is solved here. However, the problem allows two types of settings—the one of guaranteed estimation calculated in advance, namely, before the arrival of the available measurement (as a worst case situation) and the one calculated after its arriva

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State-Constrained Control Under Higher Impulsesimpulses . These restrictions are an analogy of state constraints for systems controlled by ordinary impulses of Chap. . (see also [., .]). Discussing the problem of optimal control under higher impulses and state constraints we describe it first in terms of the theory of distributions [., .]. indic

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Book 2020atment of uncertaintyin impulse control and the applications of impulse feedback...Of interest to both academics and graduate students in the field of control theory and applications, the book also protects users from common errors , such as inappropriate solution attempts, by indicating Hamiltonian