One of the challenges in the reconstruction of genetic network is to find experimental designs that maximize the information content in the data. In this work the information value of time course experiments (TCEs) is...
详细信息
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed oper...
详细信息
Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike act...
详细信息
Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activities. We have developed an algorithm based on identify non-spike activities for off-line analysis. In this paper, we improved the algorithm for online application using real-time template. Template method is a typical spike detection method. It was not widely employed because of the difficulty of making template. Our results suggested that multichannel template is meaningful and effective for real-time detection. Spike activities can be detected with a delay of about 2 s. We also designed an simple user-friendly monitor interface for monitor and review spike events in real-time.
This work aims at the development of multi-rate adaptive model predictive control (MR-AMPC) based on the fast rate model, which is identified from irregularly sampled multi-rate data. The model is assumed to have outp...
详细信息
This work aims at the development of multi-rate adaptive model predictive control (MR-AMPC) based on the fast rate model, which is identified from irregularly sampled multi-rate data. The model is assumed to have output error structure and is parameterized using generalized orthonormal basis filters. The identified model is used to generate inter-sample estimates of the irregularly sampled outputs and for performing future trajectory predictions in the proposed MRMPC formulation. The effectiveness of the proposed adaptive multi-rate control scheme is demonstrated by conducting simulation studies on a benchmark binary distillation column system. The results from the simulation reveals that the proposed adaptive multi-rate model predictive control successfully manages transition of the distillation column from moderate purity region to the high purity region where the system exhibits highly nonlinear dynamics.
A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of ...
详细信息
A method is proposed for performance assessment of PID control loops subject to time-varying disturbance dynamics, which is often observed in industrial processes. The proposed method optimizes overall performance of the processes and presents a PID tradeoff curve which provides a useful lower bound on the achievable performance of the PID controller in terms of both the most significant disturbance rejection and the representative disturbance rejection. One can choose an optional benchmark to assess the PID control performance according to the tradeoff curve. The developed performance assessment technique is illustrated by simulation and industrial examples.
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed oper...
详细信息
This paper is concerned with the identification of multiple model process with transition using the output error (OE) method. Local multiple linear models with output error model structure are identified at fixed operating points first and then a global nonlinear model is approximated by interpolating the multiple linear models with exponential weighting functions. With all the obtained initial values of the system's parameters, nonlinear optimization strategy is implemented to find the optimal values of the parameters for both the local multiple models and their corresponding weighting functions. Finally a more accurate global model can be obtained. The effectiveness of the proposed approach is demonstrated through simulation examples.
A molten carbonate fuel cell (MCFC) system is modeled and a control strategy is proposed. A spatially distributed two-dimensional dynamic model of single cell direct internal reforming MCFC was developed as a numerica...
详细信息
A molten carbonate fuel cell (MCFC) system is modeled and a control strategy is proposed. A spatially distributed two-dimensional dynamic model of single cell direct internal reforming MCFC was developed as a numerical process by reducing the PDE model to a set of ODE's using the cubic spline collocation method and the finite difference method. Mean cell temperature, T s;m , maximum temperature difference over a cell, ΔT s;max , oxygen conversion, X O2 , and hydrogen mole fraction at the anode outlet, χ H2;o , were considered as controlled variables (CV's) under the assumption that their target values are determined by an optimizer in the upper level. Among the CV's, T s;m and ΔT s;max have much slower dynamics than the other two and keeping ΔT s;max below a certain safety limit is critical. Hence T s;m and ΔT s;max were designed to be separately controlled under model predictive controller (MPC). On the other hand, X O2 and χH 2;o have fast dynamics and were designed to be regulated by single loop PID controllers with feedforward compensation. The manipulated variables (MV's) for each CV group were determined through a system analysis using the singular value decomposition and relative gain array. The performance of the control scheme was evaluated against load (power demand) changes.
A delta-operator-based adaptive model predictive control (AMPC) technique has been proposed for stack temperature control of a molten carbonate fuel cell (MCFC) system. The MCFC system is unique in that the system sho...
详细信息
A delta-operator-based adaptive model predictive control (AMPC) technique has been proposed for stack temperature control of a molten carbonate fuel cell (MCFC) system. The MCFC system is unique in that the system should be kept as stable as possible to avoid potential electrode damage, which renders the identification experiment difficult; many stack variables should be monitored at a high frequency and constrained for safe and energy-efficient operation over a long period of time. To accommodate such characteristics, an MCFC simulator was developed and delta-operator-based adaptive MPC was devised and applied to the numerical MCFC system. The model for controller design was derived from the MCFC simulator. To cope with the model error from the true system, a small number of tunable parameters were introduced so that they can be adjusted on-line during the operation of the system. The performance of the proposed technique was investigated numerically.
Abstract In this note, we study the problem of multiple hard output constraints imposed on a continuous stirred tank reactor (CSTR) subject to external disturbances. Constraints on the concentration and on the tempera...
详细信息
Abstract In this note, we study the problem of multiple hard output constraints imposed on a continuous stirred tank reactor (CSTR) subject to external disturbances. Constraints on the concentration and on the temperature are considered. We show, analytically and with simulations, that there are critical combinations of constraints, where robust constraint satisfaction cannot be guaranteed. As a consequence violation of at least one constraint has to be allowed.
暂无评论