This paper presents a simple analytical method for the design of full matrix PI controller based on the direct synthesis approach. By proposing the practically desired closed-loop diagonal transfer function to reduce ...
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We consider the output tracking of a set-point using cooperative distributed model predictive control. We propose a framework to avoid the loss of feasibility, guarantee stability, constraint satisfaction as well as c...
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The Czochralski process is the only method used commercially for production of monocrystalline silicon for semiconductor and solar cell applications. This paper explores the use of mathematical modeling as an aid in e...
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Optimal PID-settings are found for first-order with delay processes for specified levels of robustness (MS-value) and compared with an extended SIMC-rule. Optimality (performance) is defined in terms of the integrated...
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In this paper a novel method for batch-to-batch modelling and optimization, Iterative Learning Partial Least Squares Optimization (IL-PLSO) is proposed. This method uses a recursive technique to update a multi-way PLS...
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We demonstrate that the normal vector method for robust optimization of nonlinear systems with uncertain parameters can be extended to systems with delays. A first-order exothermic irreversible reaction carried out in...
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This paper develops an on-line model parameter identification approach for multivariable systems, which are nonlinear in terms of state representation and/or in terms of parameters. Combining the observation theory an...
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The use of membrane microfiltration in the production of beer is becoming an attractive alternative. Due to fouling there is the need of performing frequent backflushes and the more expensive membrane-damaging chemica...
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We consider dynamic optimization of the energy consumption in a building with energy storage capabilities. The goal is to find optimal policies which minimize the cost of heating and respect operational constraints. T...
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We present a model predictive control (MPC) approach to solve the dual adaptive control problem. The cost function minimized by the controller rewards probing the system for information when the parameter estimates ar...
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