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Guiding waves through chaos: Universal bounds for targeted mode transport. [PDF]
Wang CZ +6 more
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Utilizing social foraging as a framework to study decisions in groups. [PDF]
Garg K, Deng W, Mobbs D.
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Sprint Running Coordination: A Dynamical Systems Perspective. [PDF]
Hicks DS +3 more
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Research on Dynamic Trajectory Planning Based on Model Predictive Theory for Complex Driving Scenarios. [PDF]
Li H, Pang H, Xia H, Huang Y, Zeng X.
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Controlling the human connectome with spatially diffuse input signals. [PDF]
Betzel R +12 more
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Power Control in Wireless Body Area Networks: A Review of Mechanisms, Challenges, and Future Directions. [PDF]
Su H, Zhao Z, Gu B, Lin S.
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Optimization of Nitrogen Injection Parameters for a Partial W‑Type Ventilation Goaf at Duanwang Mine. [PDF]
Zhang X, Li Z.
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2021
After introducing the Solow and Robinson-Crusoe models as examples of real business cycle models—analogous to the equations of motion in physics—we derive the Bellman equation to find a control law for a parameter that optimizes a performance measure.
Zhongjing Ma, Suli Zou
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After introducing the Solow and Robinson-Crusoe models as examples of real business cycle models—analogous to the equations of motion in physics—we derive the Bellman equation to find a control law for a parameter that optimizes a performance measure.
Zhongjing Ma, Suli Zou
openaire +2 more sources
INTRODUCTION TO OPTIMAL CONTROL THEORY
Kybernetes, 1985Optimal Control theory is concerned with the problem of how to govern systems. Its purpose is to determine the best actions by which a given system can reach or maintain a particular state, these control actions being submitted to particular conditions called “constraints”.
Cherruault, Y., Gallego, J.
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