Abstract A comprehensive simulation and optimization platform which offers a lot of functions such as decision analysis, production scheduling optimization and process dynamic simulation is urgently required for today...
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Abstract A comprehensive simulation and optimization platform which offers a lot of functions such as decision analysis, production scheduling optimization and process dynamic simulation is urgently required for today's process industry. But this will generate a series of model management problems because models integrated in the platform belong to different classifications and interact with each other in some special applications. In this paper, a model management platform for refinery multi-level simulation and optimization is introduced. The platform, referring to a classical model management framework in decision supporting area, integrates different refinery models for different users and can coordinate computational tasks between models for multi-level application.
Abstract This paper is concerned with the stabilization problem of wireless networked controlsystems with network-induced delays of time-varying Markovian characterization. The effects of the sample rate changing on ...
Abstract This paper is concerned with the stabilization problem of wireless networked controlsystems with network-induced delays of time-varying Markovian characterization. The effects of the sample rate changing on the network induced delay is the main topic. At first place, the time delay matrices changing stochastically and arbitrarily are considered. A state feedback controller is designed to guarantee the resulting close-loop system stochastically stable. Following that, a bridge is built to give out a uniform work. A numerical example is presented to illustrate the effectiveness and potential of the developed theoretical results.
The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-obje...
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The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.
A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based...
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A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based on specific tracking and regulatory requirements of different stage, a structured residual focusing on deterministic part of output error with different weights on each stage is minimized to form the performance benchmark. In this way, it explores the equilibrium control effect in tracking and regulatory stages of batch processes in the whole batch sense. The best control performance with respect to stage balance and the overall optimal controller settings are searched using Newton's method. The application to an exothermic chemical batch reactor shows its effectiveness and feasibility.
A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, vi...
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Fed-batch processes are inherently difficult to model owing to non-steady-state operation, small-sample condition, instinct time-variation and batch-to-batch variation caused by drifting. Furthermore, when the process...
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In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observ...
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Abstract In this brief note it is shown that the linear matrix inequalities that result from the application of interconnection and damping assignment passivity-based control to general linear time-invariant systems a...
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Abstract In this brief note it is shown that the linear matrix inequalities that result from the application of interconnection and damping assignment passivity-based control to general linear time-invariant systems are feasible if and only if the system is stabilizable. A very simple proof of this fact is given that, in contrast to previous results, does not require the assumption that the system has no uncontrollable pole at s = 0.
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