Journal ArticleDOI
Adaptive Predictive Control With Recurrent Neural Network for Industrial Processes: An Application to Temperature Control of a Variable-Frequency Oil-Cooling Machine
Chi-Huang Lu,Ching-Chih Tsai +1 more
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TLDR
Experimental results for temperature control of a variable-frequency oil-cooling process show the efficacy of the proposed adaptive predictive control with recurrent neural network prediction for industrial processes with set-points changes and load disturbances.Abstract:
An adaptive predictive control with recurrent neural network prediction for industrial processes is presented. The neural predictive control law with integral action is derived based on the minimization of a modified predictive performance criterion. The stability and steady-state performance of the closed-loop control system are well studied. Numerical simulations reveal that the proposed control gives satisfactory tracking and disturbance rejection performance for two illustrative nonlinear systems with time-delay. Experimental results for temperature control of a variable-frequency oil-cooling process show the efficacy of the proposed method for industrial processes with set-points changes and load disturbances.read more
Citations
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Journal ArticleDOI
Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks
Yunpeng Pan,Jun Wang +1 more
TL;DR: It is shown that the RNN-based nonlinear MPC scheme is effective and potentially suitable for real-time MPC implementation in many applications.
Journal ArticleDOI
PID-Like Neural Network Nonlinear Adaptive Control for Uncertain Multivariable Motion Control Systems
Shuang Cong,Y. Liang +1 more
TL;DR: A mix locally recurrent neural network was used to create a proportional-integral-derivative (PID)-like neural network nonlinear adaptive controller for uncertain multivariable single-input/multi-output system.
Journal ArticleDOI
Seam Tracking Monitoring Based on Adaptive Kalman Filter Embedded Elman Neural Network During High-Power Fiber Laser Welding
TL;DR: The results of the welding experiments have demonstrated the effectiveness of the proposed method of seam tracking monitoring during high-power fiber laser welding to improve the accuracy of weld detection.
Journal ArticleDOI
Communication and Computation in Buildings: A Short Introduction and Overview
TL;DR: The following overview gives not only an introduction into the topic of BA but also the distinction to other areas of automation, in which networks of the field level (the sensor and actuator level) play an important role.
Journal ArticleDOI
Distributed Control and Communication Strategies in Networked Microgrids
Quan Zhou,Mohammad Shahidehpour,Aleksi Paaso,Shay Bahramirad,Ahmed Alabdulwahab,Abdullah Abusorrah +5 more
TL;DR: This article aims to provide a comprehensive survey of distributed control and communication strategies in NMGs and advances in several promising communication and computation technologies and their potential applications in N MGs.
References
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Book
Adaptive Control
TL;DR: Benefiting from the feedback of users who are familiar with the first edition, the material has been reorganized and rewritten, giving a more balanced and teachable presentation of fundamentals and applications.
Book
Predictive Control With Constraints
TL;DR: A standard formulation of Predictive Control is presented, with examples of step response and transfer function formulations, and a case study of robust predictive control in the context of MATLAB.
Journal ArticleDOI
Generalized predictive control—Part I. The basic algorithm
TL;DR: A novel method—generalized predictive control or GPC—is developed which is shown by simulation studies to be superior to accepted techniques such as generalized minimum-variance and pole-placement and to be a contender for general self-tuning applications.
Book
Adaptive Control: Stability, Convergence and Robustness
S. Shankar Sastry,Marc Bodson +1 more
TL;DR: In this paper, the deterministic theory of adaptive control (AC) is presented in an introduction for graduate students and practicing engineers, with a focus on basic AC approaches, notation and fundamental theorems, identification problem, model-reference AC, parameter convergence using averaging techniques, and robustness.
Journal ArticleDOI
Generalized predictive control—Part II. Extensions and interpretations
TL;DR: The relationship between GPC and LQ designs is investigated to show the computational advantage of the new approach and the robustness of the GPC approach to model over- and under-parameterization and to fast sampling rates is demonstrated by a set of simulations.
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