IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 2000 · 499 citations · 21 references
EngineeringMathematicsSystems EngineeringDynamical SystemsModel-based Systems EngineeringSystems ModelingControl SystemsDiscrete Dynamical SystemsDiscrete-event System ModelingDynamic Systems AnalysisHybrid SystemsSensitivity AnalysisElectrical Power SystemsHybrid Dynamical SystemsHybrid System StabilityJump ConditionsSensitivity Analysis In Dynamic ModelsTrajectory Sensitivity Analysis
The hybrid system model provides the foundation for subsequent trajectory sensitivity analysis. The paper develops trajectory sensitivity analysis for hybrid systems, proposing a differential‑algebraic‑discrete model. The authors derive jump conditions for sensitivities at discrete events, discuss efficient computation, and illustrate the theory with examples. Trajectory sensitivities reveal system behavior insights unattainable by conventional simulation.
The development of trajectory sensitivity analysis for hybrid systems, such as power systems, is presented in the paper. A hybrid system model which has a differential-algebraic-discrete (DAD) structure is proposed. This model forms the basis for the subsequent sensitivity analysis. Crucial to the analysis is the development of jump conditions describing the behavior of sensitivities at discrete events, such as switching and state resetting. The efficient computation of sensitivities is discussed. A number of examples are presented to illustrate various aspects of the theory. It is shown that trajectory sensitivities provide insights into system behavior which cannot be obtained from traditional simulation.
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R. Tomović, M. Vulkobratovic, W. V. Loscutoff · Journal of Dynamic Systems Measurement and Control · 1973 · 267 citations · Full text