Integration, participation and optimal control in water resources planning and management

Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system, which is highly non-linear and affected by strong uncertainty, intermingles with the value-laden socio-economic context in which decisions on t...

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Vydáno v:Applied mathematics and computation Ročník 206; číslo 1; s. 21 - 33
Hlavní autoři: Castelletti, Andrea, Pianosi, Francesca, Soncini-Sessa, Rodolfo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Inc 01.12.2008
Elsevier
Témata:
Adaptive control
Calculus of variations and optimal control
Decision support system
Exact sciences and technology
Mathematical analysis
Mathematics
Measure and integration
Multi-objective optimization
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming, optimization and calculus of variations
Sciences and techniques of general use
Stochastic optimal control
Water resources management
Multi-objective optimization
Water resources management
Decision support system
Stochastic optimal control
Adaptive control
Integration
Decision making
Control system
Optimization method
Systems theory
Algorithm
Numerical analysis
Applied mathematics
Optimal control
Control theory
Mathematical model
System analysis
Mathematical programming
ISSN:0096-3003, 1873-5649
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Popis
Shrnutí:Water resource systems provide a challenging testing ground for System Analysis and Optimal Control Theory. The intrinsic complexity of the physical system, which is highly non-linear and affected by strong uncertainty, intermingles with the value-laden socio-economic context in which decisions on the systems have to be taken. Mathematical models and algorithms have to be re-considered within a methodological framework, in which stakeholder participation and cross-disciplinary approaches are given a central role. In this paper the Integrated and Participatory Planning (PIP) procedure developed by the authors is presented as a potential methodological approach to the effective and efficient planning and management of water systems. Great emphasis is given to the way to combine traditional control techniques with preference and subjective aspects of decision-making. The key role of Multi-Objective Decision Support Systems (MODSS) is also stressed as a way of bridging the gap between theory and practice.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2007.09.069