Journal ArticleDOI
Practical generalized predictive control with decentralized identification approach to HVAC systems
Min Xu,Shaoyuan Li +1 more
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TLDR
In this paper, a generalized predictive control strategy with novel parameter identification method from step test for multiple inputs and multiple outputs (MIMO) systems is presented, where the coupled closed loop MIMO system is decoupled equivalently into four individual single open loop processes with the same input signal acting on the four transfer functions.About:
This article is published in Energy Conversion and Management.The article was published on 2007-01-01. It has received 51 citations till now. The article focuses on the topics: Model predictive control & Control theory.read more
Citations
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Journal ArticleDOI
Theory and applications of HVAC control systems – A review of model predictive control (MPC)
TL;DR: In this paper, the authors present a literature review of model predictive control (MPC) for HVAC systems, with an emphasis on the theory and applications of MPC for heating, ventilation and air conditioning (HVAC) systems.
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Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps
Farinaz Behrooz,Norman Mariun,Mohammad Hamiruce Marhaban,Mohd Amran Mohd Radzi,Abdul Rahman Ramli +4 more
TL;DR: In this paper, the authors investigate different control methods for HVAC and R systems and introduce the fuzzy cognitive map (FCM) method as a new strategy to address the nonlinearity, multiple-input and multiple-output (MIMO), complexity and coupling effect features of the systems.
Journal ArticleDOI
Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques
Ghezlane Halhoul Merabet,Ghezlane Halhoul Merabet,Mohamed Essaaidi,Mohamed Ben Haddou,Basheer Qolomany,Junaid Qadir,Muhammad Anan,Ala Al-Fuqaha,Ala Al-Fuqaha,Mohamed Riduan Abid,Driss Benhaddou +10 more
TL;DR: A comprehensive and an in-depth systematic review of AI-based techniques used for building control systems by assessing the outputs of these techniques, and their implementations in the reviewed works, as well as investigating their abilities to improve the energy-efficiency, while maintaining thermal comfort conditions.
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Adaptive-predictive control strategy for HVAC systems in smart buildings – A review
TL;DR: This review assesses the implementations and configurations of advanced control solutions and highlights research gaps in this field that need further investigations with special attention to model predictive control and adaptive control strategies.
Journal ArticleDOI
Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control
D. Subbaram Naidu,Craig Rieger +1 more
TL;DR: An overview of the advanced control strategies for heating, ventilation, air-conditioning, and refrigeration (HVAC&R) is presented, which focuses on hard-computing or control techniques, such as proportional-integral-derivative, optimal, nonlinear, adaptive, and robust; and on the fusion or hybrid of hard- and soft-control techniques.
References
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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
A survey of industrial model predictive control technology
S. Joe Qin,Thomas A. Badgwell +1 more
TL;DR: An overview of commercially available model predictive control (MPC) technology, both linear and nonlinear, based primarily on data provided by MPC vendors, is provided in this article, where a brief history of industrial MPC technology is presented first, followed by results of our vendor survey of MPC control and identification technology.
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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Tutorial overview of model predictive control
TL;DR: The concepts are introduced, a framework in which the critical issues can be expressed and analyzed are provided, and it is pointed out how MPC allows practitioners to address the trade-offs that must be considered in implementing a control technology.
Book ChapterDOI
Generalized Predictive Control
TL;DR: This chapter describes one of the most popular predictive control algorithms: Generalized Predictive Control (GPC), developed in detail, showing the general procedure to obtain the control law and its most outstanding characteristics.