Model predictive control: theory and practice—a survey
Automatica (Journal of IFAC)
An introduction to intelligent and autonomous control
An introduction to intelligent and autonomous control
Cognitive function analysis for human-centered automation of safety-critical systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Control System Safety Evaluation and Reliability
Control System Safety Evaluation and Reliability
Discrete Supervisory Control of Hybrid Systems Based on l-Complete Approximations
Discrete Event Dynamic Systems
Control of Switched Hybrid Systems Based on Disjunctive Formulations
HSCC '02 Proceedings of the 5th International Workshop on Hybrid Systems: Computation and Control
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Artificial cognition in autonomous assembly planning systems
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
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Cognition of technical systems, as the ability to perceive situations, to learn about favorable behavior, and to autonomously generate decisions, adds new attributes to safety issues. The system can cope with heavily changing conditions but its future behavior is not known a-priori. Therefore, present software solutions to safety like a comprehensive analysis of the specification and its implementation according to e.g. the V-model are not sufficient. The paper proposes an architecture for safe cognitive controllers consisting of an operational and a strategic functional part. While the first provides certified safety, the strategic part computes safe strategies based on appropriate dynamic models, adapted sets of safety specifications, and learned knowledge about potentially safety critical scenarios. Thus, the architecture explicitly uses cognitive functions to achieve safe behavior, and it allows the application of cognitively controlled plants for safety-related tasks.