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This thesis deals with methods for handling resource constraints in embedded control systems and real-time computing systems. By dynamic feedback-based resource scheduling it is possible to achieve adaptability andincreased performance for these systems. A feedback scheduling strategy is presented, which uses feedback from plant states to distribute computing resources optimally among a set of co
