The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Modeling and coordinated control of large interconnected multi-purpose reservoirs spread across a country is usually challenging. These systems are generally characterized by coupled water quantity and quality variables and multiple control objectives. Efficient control of these systems can be achieved through appropriate and accurate modeling of reservoir dynamics in tandem with an accurate weather...
In most countries, especially in deltas, there is a long tradition in the management of water resource systems, in particular related to structural measures such as the construction of dikes and riverine/coastal hydraulic structures. We discuss how this infrastructure can be supported and managed in order to serve as non-structural measures. Therefore, we present a review about technology for the...
Efficient flood management requires accurate real time forecasts to allow early warnings, real time control of hydraulics structures or other actions. Commercially available computing tools typically use, for flow or level forecasting, hydraulic models derived from the numerical approximation of Saint-Venant equations. These tools need powerful computers, accurate knowledge of the riverbed topography...
We present a Nonlinear Model Predictive Control (NMPC) algorithm for real-time control of large-scale river networks in delta areas. The algorithm consists of an iterative, finite-horizon optimization of the system over a short-term control horizon. The underlying set of nonlinear internal process models represents relevant physical phenomena such as flow routing in the river network, and the dynamics...
The problem of satisfying constraints imposed on a dynamical system that operates under a load schedule is considered from the perspective of using model predictive control to set free inputs across time. We formulate an approach incorporating information about the schedule and identify conditions for when it is guaranteed to work. The proposed method is motivated and simulated within the context...
Incorporating weather forecasts in the control of land surface water levels requires predicting the outcome of a control action. In Model-Predictive Control (MPC) such predictions are generated by a model of the water system. The actuators in this specific application typically cause discontinuities in this model. Avoiding complex solving techniques for such hybrid systems, this paper introduces an...
In order to provide safety against high sea water levels, in many low-lying countries on the one hand dunes are maintained at a certain safety level and dikes are built, while on the other hand large control structures that can be controlled dynamically are constructed. Currently, these structures are often operated purely locally, without coordination on actions between different structures. Automatically...
Model Predictive Control (MPC) has received wide attention from both the academic and industrial societies, mainly in the chemical industries, and is fast gaining popularity in Electro-Mechanical industrial systems. Great success stories of applications of MPC to industrial systems have been reported. However, the model based nature of this control methodology raises numerous questions of robustness,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.