Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0367-7
Abstract: This paper considers the parameter identification for a special class of nonlinear systems, i.e., bilinear-in-parameter systems. Based on the hierarchical identification principle, a hierarchical stochastic gradient (HSG) estimation algorithm is presented. The basic idea is… read more here.
Keywords: algorithm; class; parameter systems; bilinear parameter ... See more keywords
Data-Driven Nonlinear Optimal Control for Distributed Parameter Systems with Output Delay
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.06.028
Abstract: Abstract This paper presents a predictive nonlinear optimal control method for nonlinear distributed parameter systems with output delay by means of a data-driven modeling method called the dynamic mode decomposition. Nonlinear optimal control problems can… read more here.
Keywords: distributed parameter; parameter systems; output; nonlinear optimal ... See more keywords
Transfer function models for distributed-parameter systems with impedance boundary conditions
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Control"
DOI: 10.1080/00207179.2017.1397753
Abstract: ABSTRACT A transfer function description is derived for a general class of linear distributed parameter systems dependent on time and one spatial variable. Suitable functional transformations are the Laplace transformation for the time variable and… read more here.
Keywords: distributed parameter; function models; boundary conditions; parameter systems ... See more keywords
Distributed parameter systems - new methods for modelling and control
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical and Computer Modelling of Dynamical Systems"
DOI: 10.1080/13873954.2016.1232291
Abstract: System analysis and control for systems described by partial differential equations (PDEs) is undoubtedly a challenging research area and a lot of progress has been achieved recently. Nevertheless, compared to the methods that are available… read more here.
Keywords: distributed parameter; energy; control; parameter systems ... See more keywords
SSAE and GRU Based Joint Modeling for Nonlinear Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206950
Abstract: The modeling and control issues for distributed parameter systems (DPSs) have received a great deal of attention. Because linear model order reduction (MOR) methods may ignore the nonlinear dynamics and lose some details, it is… read more here.
Keywords: gru based; distributed parameter; ssae gru; parameter systems ... See more keywords
Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2020.3028839
Abstract: This article presents a stochastically optimal iterative learning control (ILC) approach by designing a general integral learning operator which minimizes the expected mean-squares output error. The proposed learning law generalizes existing optimal PD-type learning laws… read more here.
Keywords: distributed parameter; control; parameter systems; iterative learning ... See more keywords
Parallel Control of Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2849569
Abstract: In this paper, we study the control problems of distributed parameter systems, and discuss the limitations of traditional control methods. In recent years, social factors have gradually become an essential parameter of system modeling. For… read more here.
Keywords: control distributed; distributed parameter; parallel control; control ... See more keywords
Fuzzy Intermittent Extended Dissipative Control for Delayed Distributed Parameter Systems With Stochastic Disturbance: A Spatial Point Sampling Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3065524
Abstract: In this article, the extended dissipative performance of distributed parameter systems (DPSs) with stochastic disturbances and multiple time-varying delays is studied by using a new fuzzy aperiodic intermittent sampled-data control strategy. Different from the previous… read more here.
Keywords: intermittent; distributed parameter; control; parameter systems ... See more keywords
Modified High-Order SVD for Spatiotemporal Modeling of Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3075882
Abstract: Modeling high-spatial dimensional (high-D) distributed parameter systems (DPSs) is very difficult because of the spatially distributed characteristic and complex spatiotemporal coupling. In this article, a new framework based on high-order singular vector decomposition (HOSVD) is… read more here.
Keywords: distributed parameter; high dps; high order; modified high ... See more keywords
Finite Gaussian Mixture Model Based Multimodeling for Nonlinear Distributed Parameter Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2923917
Abstract: Complex nonlinear distributed parameter systems (DPSs) widely exist in real industrial thermal processes. Modeling of such systems often leads to the following challenges: strong nonlinearities, time-varying dynamics, and large operating range with multiple working points.… read more here.
Keywords: nonlinear distributed; finite gaussian; model; parameter systems ... See more keywords
Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3263840
Abstract: Fault detection for distributed parameter systems (DPSs) generally requires the complete model information to be known so far. However, for numerous industrial applications, it is common that accurate first-principles physical models are extremely difficult to… read more here.
Keywords: partially known; distributed parameter; fault detection; known nonlinear ... See more keywords