Modelling and control of multivariable processes using generalized hammerstein model

Modelling and control of multivariable processes using generalized hammerstein model

10.1205/cherd06210

Saved in:

書目詳細資料
Main Authors:	Hlaing, Y.M., Chiu, M.-S., Lakshminarayanan, S.
其他作者:	CHEMICAL & BIOMOLECULAR ENGINEERING
格式:	Article
出版:	2014
主題:	Adaptive control Decentralized control Hammerstein model Just-in-time learning
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/89454
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Identification and control of generalized hammerstein processes
由: YE MYINT HLAING
出版: (2010)

Adaptive single-neuron controller design for nonlinear process control
由: Cheng, C., et al.
出版: (2014)

Adaptive IMC controller design using linear multiple models
由: Kansha, Y., et al.
出版: (2014)

Adaptive decentralized PID controllers design using JITL modeling methodology
由: Yang, X., et al.
出版: (2014)

Adaptive IMC controller design for nonlinear process control
由: Cheng, C., et al.
出版: (2014)

A noniterative neuro-fuzzy based identification method for Hammerstein processes
由: Jia, L., et al.
出版: (2014)

Adaptive generalized predictive control based on JITL technique
由: Kansha, Y., et al.
出版: (2014)

Research on multi-signal based neuro-fuzzy Hammerstein-Wiener model
由: Jia, L., et al.
出版: (2014)

Data-based internal model controller design for a class of nonlinear systems
由: Ganeshreddy Kalmukale, A., et al.
出版: (2014)

Self-tuning PID controller designs for multivariable systems
由: Yang, X., et al.
出版: (2014)

A data-based approach to auto-tuning PID controller
由: Cheng, C., et al.
出版: (2014)

Robust PID controller design for nonlinear processes using JITL technique
由: Cheng, C., et al.
出版: (2014)

Self-tuning PID controllers based on the Lyapunov approach
由: Kansha, Y., et al.
出版: (2014)

An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction
由: Xie, Chen, et al.
出版: (2022)

Data-based LQI controller design from plant data
由: Kansha, Y., et al.
出版: (2014)

Linear and Adaptive Controller Designs from Plant Data
由: YANG XIN
出版: (2011)

Independent design of robust partially decentralized controllers
由: Lee, T.K., et al.
出版: (2014)

A new data-based methodology for nonlinear process modeling
由: Cheng, C., et al.
出版: (2014)

Decentralized control design for large-scale systems with strong interconnections using neural networks
由: Huang, S., et al.
出版: (2014)

Exponential stabilization controller design for interconnected time delay systems
由: Hua, C.-C., et al.
出版: (2014)

Empirical modeling of a pulse-jet fabric filter: An experimental study
由: Zhuang, H., et al.
出版: (2014)

Nonlinear controller design from Plant data
由: YASUKI KANSHA
出版: (2011)

Internal model control design using Just-In-Time learning technique
由: KALMUKALE ANKUSH GANESHREDDY
出版: (2010)

Nonlinear process monitoring using JITL-PCA
由: Cheng, C., et al.
出版: (2014)

Adaptive control of mechanical systems using neural networks
由: Huang, S., et al.
出版: (2014)

Decoupling internal model control for multivariable systems with multiple time delays
由: Wang, Q.-G., et al.
出版: (2014)

A New Strategy of Locality Enhancement for Justin-Time Learning Method
由: Su, Q.L., et al.
出版: (2014)

Decentralized adaptive synchronization of a stochastic discrete-time multiagent dynamic model
由: Ma, H.-B.
出版: (2014)

A Bibliometric Analysis of Distributed Control Publications
由: Zhai, Chao, et al.
出版: (2018)

Decoupling internal model control for multivariable systems with multiple time delays
由: Wang, Q.-G., et al.
出版: (2014)

Design of integrated iterative learning control for batch processes based on online model modification
由: Jia, L., et al.
出版: (2014)

DATA-DRIVEN MODELING AND CONTROL FOR TIME-VARYING MULTISTAGE MANUFACTURING PROCESSES
由: ZHOU MIN
出版: (2016)

Stable decentralized adaptive control design of robot manipulators using neural network approximations
由: Huang, S.N., et al.
出版: (2014)

A general fuzzy control scheme for nonlinear processes with stability analysis
由: Chai, J.-S., et al.
出版: (2014)

An integrated iterative learning control strategy with model identification and dynamic R-parameter for batch processes
由: Jia, L., et al.
出版: (2014)

Research on adaptive neural network control system based on nonlinear U-Model with time-varying delay
由: Xu, F, et al.
出版: (2020)

Adaptive internal model control of nonlinear processes
由: Qiuping, H., et al.
出版: (2014)

Sequential stabilization of decentralized control systems
由: Chiu, M.-S., et al.
出版: (2014)

Design of adaptive control system based on linearization error model
由: Jia, L., et al.
出版: (2014)

Design and implementation of a fully autonomous flight control system for a UAV helicopter
由: Peng, K., et al.
出版: (2014)