Jadranko Matusko

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In this paper we consider the problem of predictive control for linear systems subject to stochastic disturbances. We repeatedly solve a stochastic finite-time constrained optimal control problem by using the scenario-based approach. We address the conservatism of the approach by presenting a new technique for fast scenario removal based on mixed-integer(More)
This paper presents a stochastic model predictive control (SMPC) approach to building heating, ventilation, and air conditioning (HVAC) systems. The building HVAC system is modeled as a network of thermal zones controlled by a central air handling unit and local variable air volume boxes. In the first part of this paper, simplified nonlinear models are(More)
This paper presents a Takagi-Sugeno (TS) synchronous generator unit model intended for application in an autotuning power system stabilizer. The model takes into account all three process variables that can affect synchronous machine dynamics regarding stability beside usually used active and reactive power (P and Q) it includes also line reactance (xm). It(More)
Fast and accurate positioning and swing minimization of the containers and other loads in crane manipulation are demanding and in the same time conflicting tasks. For accurate positioning, the main problem is nonlinear friction effect, especially in the low speed region. In this paper authors propose position controller realized as hybrid controller. It(More)
Microgrid is a cluster of distributed (renewable) generation sources, storage units and loads, which, when controlled in an optimal fashion, can improve both the quality of the local power supply as well as the performance of the overall power distribution system. In this paper we present a robust control methodology for microgrids that can cope with(More)
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