Abstract
AbstractThe work presents an attainment of risk-value based cooperative solutions for management control of linear stochastic multi-agent systems with distributed observation collections with the following complexities: (1) closed-loop performance robustness ensured by a risk-value model for tradeoffs between performance values and risks and (2) risk-averse decisions and cooperative control policies via local information patterns.
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