Performance optimization for networked and embedded
control systems refers to the ability of minimizing controllers’
resource utilization and/or improving control performance.
Event-driven control has been shown to be a promising
technique for minimizing controllers’ computational demands.
However, optimization of control performance for event-driven
control has not been fully addressed. For LTI plants, this
paper presents a boundary for event-driven controllers that
determines at each job e...
Performance optimization for networked and embedded
control systems refers to the ability of minimizing controllers’
resource utilization and/or improving control performance.
Event-driven control has been shown to be a promising
technique for minimizing controllers’ computational demands.
However, optimization of control performance for event-driven
control has not been fully addressed. For LTI plants, this
paper presents a boundary for event-driven controllers that
determines at each job execution when the next job execution
should occur in order to minimize a continuous-time quadratic
cost function while minimizing controllers’ computational demand.
Simulation results illustrate the qualitative shape of this
boundary.
Citation
Velasco, M. [et al.]. Qualitative analysis of a one-step finite-horizon boundary for event-driven controllers. A: IEEE Conference on Decision and Control and European Control Conference. "Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference". Orlando, FL: IEEE, 2011, p. 1662-1667.
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