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Efficient reduced order controller design for dissipative PDE systems with strong convective phenomena. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.09.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Yang M, Armaou A. Revisiting APOD accuracy for nonlinear control of transport reaction processes: A spatially discrete approach. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.12.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Yang M, Armaou A. Synthesis of Equation-Free Control Structures for Dissipative Distributed Parameter Systems Using Proper Orthogonal Decomposition and Discrete Empirical Interpolation Methods. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b02322] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Manda Yang
- Department
of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Antonios Armaou
- Department
of Chemical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department
of Mechanical Engineering, Wenzhou University, Zhejiang, China
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Bizon K. Assessment of a POD method for the dynamical analysis of a catalyst pellet with simultaneous chemical reaction, adsorption and diffusion: Uniform temperature case. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2016.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Luo B, Huang T, Wu HN, Yang X. Data-Driven H∞ Control for Nonlinear Distributed Parameter Systems. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2015; 26:2949-2961. [PMID: 26277007 DOI: 10.1109/tnnls.2015.2461023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The data-driven H∞ control problem of nonlinear distributed parameter systems is considered in this paper. An off-policy learning method is developed to learn the H∞ control policy from real system data rather than the mathematical model. First, Karhunen-Loève decomposition is used to compute the empirical eigenfunctions, which are then employed to derive a reduced-order model (ROM) of slow subsystem based on the singular perturbation theory. The H∞ control problem is reformulated based on the ROM, which can be transformed to solve the Hamilton-Jacobi-Isaacs (HJI) equation, theoretically. To learn the solution of the HJI equation from real system data, a data-driven off-policy learning approach is proposed based on the simultaneous policy update algorithm and its convergence is proved. For implementation purpose, a neural network (NN)- based action-critic structure is developed, where a critic NN and two action NNs are employed to approximate the value function, control, and disturbance policies, respectively. Subsequently, a least-square NN weight-tuning rule is derived with the method of weighted residuals. Finally, the developed data-driven off-policy learning approach is applied to a nonlinear diffusion-reaction process, and the obtained results demonstrate its effectiveness.
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Gu Q, Hoo KA. Model-Based Closed-Loop Control of the Hydraulic Fracturing Process. Ind Eng Chem Res 2015. [DOI: 10.1021/ie5024782] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Qiuying Gu
- Department
of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121, United States
| | - Karlene A. Hoo
- Department of Chemical & Biological Engineering, Montana State University, Bozeman, Montana 59717-2580, United States
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Qi C, Li HX, Li S, Zhao X, Gao F. A fuzzy-based spatio-temporal multi-modeling for nonlinear distributed parameter processes. Appl Soft Comput 2014. [DOI: 10.1016/j.asoc.2014.09.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Wang M, Shi H. An adaptive neural network prediction for nonlinear parabolic distributed parameter system based on block-wise moving window technique. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2013.11.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Luo B, Wu HN, Li HX. Data-based Suboptimal Neuro-control Design with Reinforcement Learning for Dissipative Spatially Distributed Processes. Ind Eng Chem Res 2014. [DOI: 10.1021/ie4031743] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Biao Luo
- Science
and Technology on Aircraft Control Laboratory, School of Automation
Science and Electrical Engineering, Beihang University (Beijing University of Aeronautics and Astronautics) Beijing 100191, P. R. China
- State
Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China
| | - Huai-Ning Wu
- Science
and Technology on Aircraft Control Laboratory, School of Automation
Science and Electrical Engineering, Beihang University (Beijing University of Aeronautics and Astronautics) Beijing 100191, P. R. China
| | - Han-Xiong Li
- Department
of Systems Engineering and Engineering Management City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR
- State
Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, Hunan China
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Wang M, Yan X, Shi H. Spatiotemporal prediction for nonlinear parabolic distributed parameter system using an artificial neural network trained by group search optimization. Neurocomputing 2013. [DOI: 10.1016/j.neucom.2013.01.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Luo B, Wu HN. Approximate Optimal Control Design for Nonlinear One-Dimensional Parabolic PDE Systems Using Empirical Eigenfunctions and Neural Network. ACTA ACUST UNITED AC 2012; 42:1538-49. [DOI: 10.1109/tsmcb.2012.2194781] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Biao Luo
- Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University (formerly Beijing University of Aeronautics and Astronautics), Beijing 100191, China.
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Qi C, Li HX, Li S, Zhao X, Gao F. Kernel-Based Spatiotemporal Multimodeling for Nonlinear Distributed Parameter Industrial Processes. Ind Eng Chem Res 2012. [DOI: 10.1021/ie301593u] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Chenkun Qi
- School of Mechanical Engineering, Shanghai Jiao Tong University, State Key Laboratory
of Mechanical System and Vibration, Shanghai 200240, China
| | - Han-Xiong Li
- Department of Systems Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China and School of Mechanical & Electrical Engineering, Central South University, China
| | - Shaoyuan Li
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xianchao Zhao
- School of Mechanical Engineering, Shanghai Jiao Tong University, State Key Laboratory
of Mechanical System and Vibration, Shanghai 200240, China
| | - Feng Gao
- School of Mechanical Engineering, Shanghai Jiao Tong University, State Key Laboratory
of Mechanical System and Vibration, Shanghai 200240, China
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Wu HN, Luo B. Heuristic Dynamic Programming Algorithm for Optimal Control Design of Linear Continuous-Time Hyperbolic PDE Systems. Ind Eng Chem Res 2012. [DOI: 10.1021/ie300897m] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Huai-Ning Wu
- Science and Technology on Aircraft Control
Laboratory,
School of Automation Science and Electrical Engineering, Beihang University (Beijing University of Aeronautics and Astronautics), Beijing 100191, People's Republic of China
| | - Biao Luo
- Science and Technology on Aircraft Control
Laboratory,
School of Automation Science and Electrical Engineering, Beihang University (Beijing University of Aeronautics and Astronautics), Beijing 100191, People's Republic of China
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Dynamic output feedback covariance control of stochastic dissipative partial differential equations. Chem Eng Sci 2008. [DOI: 10.1016/j.ces.2008.06.026] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Aggelogiannaki E, Sarimveis H. Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models. Comput Chem Eng 2008. [DOI: 10.1016/j.compchemeng.2007.05.002] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lou Y, Christofides PD. Feedback control of growth rate and surface roughness in thin film growth. AIChE J 2006. [DOI: 10.1002/aic.690490818] [Citation(s) in RCA: 57] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Grossmann IE. Challenges in the new millennium: product discovery and design, enterprise and supply chain optimization, global life cycle assessment. Comput Chem Eng 2004. [DOI: 10.1016/j.compchemeng.2004.07.016] [Citation(s) in RCA: 99] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Lou Y, Christofides PD. Feedback control of surface roughness of GaAs (0 0 1) thin films using kinetic Monte Carlo models. Comput Chem Eng 2004. [DOI: 10.1016/j.compchemeng.2004.07.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Kowalski ME, Jin JM. Model-order reduction of nonlinear models of electromagnetic phased-array hyperthermia. IEEE Trans Biomed Eng 2004; 50:1243-54. [PMID: 14619994 DOI: 10.1109/tbme.2003.818468] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A method based on the Karhunen-Loéve (KL) transform is proposed for the reduction of large-scale, nonlinear ordinary differential equations such as those arising from the finite difference modeling of biological heat transfer. The method of snapshots is used to expedite computation of the required quantities in the KL procedure. Guidelines are presented and validated for snapshot selection and resultant basis series truncation, emphasizing the special physical features of the electromagnetic phased-array heat transfer physics. Applications to fast temperature prediction are presented.
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Affiliation(s)
- Marc E Kowalski
- Pennie & Edmonds LLP, 3300 Hillview Avenue, Palo Alto, CA 94303, USA.
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Lou Y, Christofides PD. Estimation and control of surface roughness in thin film growth using kinetic Monte-Carlo models. Chem Eng Sci 2003. [DOI: 10.1016/s0009-2509(03)00166-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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23
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Challenges in the new millennium: Product discovery and design, enterprise and supply chain optimization, global life cycle assessment. ACTA ACUST UNITED AC 2003. [DOI: 10.1016/s1570-7946(03)80525-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Zheng D, Hoo K. Low-order model identification for implementable control solutions of distributed parameter systems. Comput Chem Eng 2002. [DOI: 10.1016/s0098-1354(02)00025-x] [Citation(s) in RCA: 56] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Zheng D, Hoo KA, Piovoso MJ. Low-Order Model Identification of Distributed Parameter Systems by a Combination of Singular Value Decomposition and the Karhunen−Loève Expansion. Ind Eng Chem Res 2002. [DOI: 10.1021/ie0102899] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- D. Zheng
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121
| | - K. A. Hoo
- Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121
| | - M. J. Piovoso
- School of Graduate Professional Studies, Penn State University, Malvern, Pennsylvania 19355
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