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In this paper, a distributed and cooperative optimization-based iterative learning control (ILC) algorithm is proposed for large-scale building temperature control problems. With the algorithm, large-scale building temperature control problems are solvable with reasonable computational load and guaranteed control performance under nearly repetitive disturbances. The large-scale centralized system...
In this paper, an optimization-based constrained iterative learning control (ILC) with an iteratively tunable feedback controller is proposed for building temperature control systems. To guarantee good control performance in the presence of both repetitive and non-repetitive disturbances, the ILC input and the feedback controller are optimized simultaneously in each iteration. Considering constraints...
In this paper, an iterative design of feedforward and feedback controller is proposed for a building temperature regulation application. An iterative learning control (ILC) strategy is utilized to eliminate the influence of repetitive disturbance and an iteratively tuned feedback controller is applied to reduce the influence of non-repetitive disturbance components. With constraints from input saturation,...
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