Evolutionary neurocontrollers for autonomous mobile robots
Neural Networks - Special issue on neural control and robotics: biology and technology
Fault Tolerant Operating Systems
ACM Computing Surveys (CSUR)
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Review: A review of active structural control: challenges for engineering informatics
Computers and Structures
Configuration of control system for damage tolerance of a tensegrity bridge
Advanced Engineering Informatics
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This paper presents progress in the field of adaptive civil-engineering structures. Self-diagnosis, multi-objective shape control and reinforcement-learning processes are implemented within a control framework on an active tensegrity structure. Self-diagnosis extends active structural control to situations of partially defined loads. Multi-objective search is useful for computing commands that control shape while minimizing active strut stroke and stress, and maximizing stiffness. Reinforcement learning improves the control by memorizing, retrieving and adapting previous control events. The control framework is validated experimentally on an active tensegrity structure. This provides an example of an adaptive civil-engineering structure.