Min-Sen Chiu

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A general analysis theory is presented which can incorporate robust performance defined in ¿ framework for sequential design purposes. As a result, a systematic methodology for sequential design of robust decentralized controllers is proposed. To do so, new formulations of linear fractional transformation of complementary sensitivity function and(More)
Polymorphism, a phenomenon in which a substance can have more than one crystal form, is a frequently encountered phenomenon in pharmaceutical compounds. Different polymorphs can have very different physical properties such as crystal shape, solubility, hardness, color, melting point, and chemical reactivity, so that it is important to ensure consistent(More)
In order to maximize the amount of the final product while reducing the amount of the by-product in batch process, an improved multi-objective particle swarm optimization based on Pareto-optimal solutions is proposed in this paper. A novel diversity preservation strategy that combines the information of distance and angle into similarity judgment is(More)
Polymorphism, a phenomenon where a substance can have more than one crystal forms, has recently become a major interest to the food, speciality chemical, and pharmaceutical industries. The different physical properties for polymorphs such as solubility, morphology, and dissolution rate may jeopardize operability or product quality, resulting in significant(More)
Polymorphism, in which there exist different crystal forms for the same chemical compound, is an important phenomenon in pharmaceutical manufacturing. In this article, a kinetic model for the crystallization of L-glutamic acid polymorphs is developed from experimental data. This model appears to be the first to include all of the transformation kinetic(More)
In this paper, adaptive neuro-fuzzy identification is investigated for the Hammerstein model, which consists of the cascade structure of a static nonlinearity followed by a linear dynamic part. Utilizing the approximation ability of neuro-fuzzy for the nonlinear static function, there is no need for prior knowledge and restriction on static nonlinear(More)
An internal model control (IMC) design strategy is proposed for a class of nonlinear systems that can be described by data-based modeling technique called just-in-time learning (JITL). The proposed controller consists of a conventional linear controller augmented by a series of correction terms to account for nonlinearities in the system. The resulting(More)
In this paper, a run-to-run control with neuro-fuzzy model updating mechanism is developed. This strategy features the ability to learn from previous batches to obtain iteratively the optimal control profile and adjust the neuro-fuzzy model parameters. In addition, an updating algorithm guaranteeing the global convergence of the weights of the model is(More)