IEEE Transactions on Control Systems Technology · 2019 · 16 citations · 34 references
EngineeringComputer ScienceSystems EngineeringCyber-physical SystemsDesign AutomationDesign OptimizationCyber-physical System Co-designCyber-physical Systems ArchitectureCyber-physical Systems DesignCyber-physical Systems ModelingMicrogridsSmart GridsControl Of Cyber-physical SystemsControl-computer IntegrationCyber-physical Architecture DesignCyber-physical Systems IntegrationPrototypingSmart Thermostat IntegrationSystem SynthesisThermostat Control
Recently, a new generation of systems with integrated computational and physical capabilities, also known as CyberPhysical Systems (CPSs), has been introduced. The control of these systems often results in very high-order models imposing great challenges to the analysis and design problems. In the context of this paper, a decision-making mechanism for these systems is proposed. Moreover, we introduce a virtual prototyping framework for the physical implementation and customization of these orchestrators. For evaluation purposes, the introduced solution is applied to design a low-cost smart thermostat in a microgrid environment. Experimental results highlight the superiority of introduced orchestrator, as it achieves comparable performance to state-of-the-art relevant decision-making approaches, but with considerable lower computational and storage complexities.
34
Constrained model predictive control: Stability and optimality
D.Q. Mayne, James B. Rawlings, Christopher V. Rao et al. · Automatica · 2000 · 8.5K citations