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Our aim is to consider a model-based approach to control of image-driven control systems, i.e., the systems in which images play the role of system states. As a tool for describing such systems we have selected n × n matrix state equations. For linear, time invariant systems we prove necessary and sufficient controllability and asymptotic stability conditions that can be efficiently verified by considering...
Our aim is to propose an extension of nD systems by treating uncertain parameters of a system as additional independent variables. We recall known results on deriving equations for the sensitivity of the system state to parameter changes. Then, the problem of optimal control of linear systems extended by sensitivity equations with the quadratic criterion is stated. Its solution is relatively easy...
Optimal control problem for parabolic differential-algebraic equations (PDAE) systems with spatially sensitive state-constraints and technological constraints is considered. Multipoint shooting approach is proposed to attack such problems. It is well suited to deal with unstable and ill-conditioned PDAE systems. This approach consists in the partitioning of the time-space domain into shorter layers,...
Our aim is to consider the problem of allocating sensors and frequencies of their activation in such a way that the balance between the estimation accuracy of a scalar field and energy consumption is optimized. To this end we propose an extension of the theory of optimal experiment designs by including terms for transmission energy consumption or penalties for region coverage into the optimality criterion...
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