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Titlebook: Stochastic Switching Systems; Analysis and Design El-Kébir Boukas Book 2006 Birkhäuser Boston 2006 Analysis.Markov.communication.filtering

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Stability Problem, . is a constant known matrix with appropriate dimension. The stability of this class of systems has been extensively studied and many interesting results can be used to check the stability of a given system of this class. Lyapunov equations or equivalent LMI conditions are often used to check stabi
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Stabilization Problem,f a given system to guarantee the desired design performances. This problem has and continues to attract many researchers from the control community and many techniques can be used to solve the stabilization problem for dynamical systems. From the practical point of view when designing any control s
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Filtering Problem, is not possible for physical or cost reasons. In order to continue to use the state feedback controller, we can estimate the state vector. This technique has been used for many years and continues in many industrial applications ranging from aerospace to economics, including engineering, biology, g
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,ℋ∞ Control Problem,t of disturbances for the class of piecewise deterministic systems. Unfortunately this approach requires special assumptions on these external disturbances that should be Gaussian with some given statistical properties that are difficult to satisfy.
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Stabilization Problem,nd many techniques can be used to solve the stabilization problem for dynamical systems. From the practical point of view when designing any control system, the stabilization problem is the most important in the design phase since it will give the desired performances to the designed control system.
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Filtering Problem,ique has been used for many years and continues in many industrial applications ranging from aerospace to economics, including engineering, biology, geoscience, and management. In real-time applications, care should be taken to guarantee that the estimation dynamics be faster than those of the closed loop of the considered systems.
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adapted Neural Gas algorithm with some features of Kohonen’s Self-Organizing Map. Maximum Traveling Salesman Problem is similar to classical Traveling Salesmen Problem (TSP), but instead of a search for a Hamiltonian tour visiting all vertices and returning to the initial vertex, which has a minimum
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