Distributed Decision Making and Control
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Summary
The text extends existing methods which represent pricing mechanisms as Lagrange multipliers to distributed optimization in a dynamic setting and includes scalable methods and tools for modeling, analysis and control synthesis, as well as reliable implementations using networked embedded systems.
- Type
- book
- Published
- 2012-01-01
- Cited by
- 17
- References
- 0
- OpenAlex
- https://openalex.org/W650238340
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60199931
Keywords
Control (management), Computer science, Artificial intelligence, Control engineering, Engineering
References
No references recorded for this paper.
Cited by
- Distributed Estimation and Control for Robotic Networks
- From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective
- Computational bounds for elevator control policies by large scale linear programming
- Occupancy grid based distributed MPC for mobile robots
- Green Energy Scheduling for Demand Side Management in the Smart Grid
- Information flow in logic for distributed systems: Extending graded consequence
- Unification and Convergence of Hierarchic Structures Such as Organizational Separations and Product Projects at Creation of Recommending Decision Support Systems
- Resource-Aware Control via Dynamic Pricing for Congestion Game with Finite-Time Guarantees
- Methodology for Estimating of Adequacy Concerning Mathematical Models of Complex Objects
- Divide and Invest: Bargaining in a Dynamic Framework
- Distributed Solution of GNEP over Networks via the Douglas-Rachford Splitting Method
- A dynamic and reactive routing protocol for the physical internet network
- An approach to identify an approximating model of a cyber security system
- An Adaptive, Data-Integrated Agent-Based Modeling Framework for Explainable and Contestable Policy Design
- Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters
- Valuing the electricity produced locally in renewable energy communities through noncooperative resources scheduling games
- Distributed Control of Power Grids
- Smart Grid’s Big Data Wireless Computing
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