Abstract. Mobile embedded systems belong among the typical applications of the distributed systems control in real time. An example of a mobile control system is the robotic system. The proposal and realization of such distributed control system represents a demanding and complex task of real time control. In the process of robot soccer game application extensive data is accumulated. A reduction of such data is a possible win in game strategy. SVD decomposition of matrixes is used in data reduction.

Abstract.Mobile embedded systems are a part of standard applications of distributed system control in real time. An example of a mobile control system is the robotic system. The software part of a distributed control system is realized by decision making and executive agents. The algorithm of agents cooperation was proposed with the control agent on a higher level. The algorithms for agents realized in robots are the same. Real-time dynamic simple strategy description and strategy learning possibility based on game observation is important for discovering opponent's strategies and searching for tactical group movements, simulation and synthesis of suitable counter-strategies. For the improvement of game strategy, we are developing an abstract description of the game and propose ways to use this description (e.g. for learning rules and adapting team strategies to every single opponent).

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Abstract. The main purpose of this article is to present multi-criteria decision-making principle as a tool providing the agent with autonomous decision-making capacity. The advantages and disadvantages of this principle are described on the example of the robot soccer game, together with the future perspective of this approach. The control system for robot soccer game is designed with consideration of using a multi-criteria decision-making. As a quickly changing environment, the robot soccer game provides an excellent testing ground for such experimental approach.