检索结果-内蒙古大学图书馆

IEEE Region 10 International Conference TENCON

作者： S. Munzir H.M. Mohamed M.Z. Abdulmuin Process control and automation center Faculty of Engineering University of Malaya Kuala Lumpur Malaysia

Modeling of nonlinear systems is implemented using a partial linear modeling (PLM) technique, which separates the linear and nonlinear part of the model. The linear part of the model is in the form of an ARX model, while the nonlinear part is in the form of NNARX model using an RBF neural network. For the RBF neural network, the centers of the network are chosen using an orthogonal least squares (OLS) method. The linear part of the model is constructed to fit and absorb as much as possible the dynamic of the system, while its residuals are fitted using the nonlinear part of the model. The model is tested on experimental data of a MIMO spark ignition (SI) engine system. The plant (SI engine) is handled as a two-inputs, two-outputs process, the two inputs are the ignition timing and the throttle angle, the two outputs are the engine speed and manifold pressure. Different order and nonlinear terms of model are tested on the input-output data to obtain a valid model. Finally, second order with three nonlinear terms of model is found as a fairly accurate model. Model validation is treated using different sets of input-output data which indicates that the resulting model is fairly valid. A feedback linearization method is used for controlling the nonlinear system where the model is constructed using the PLM technique. The smooth transition of the controller output shows that the combination of the modeling and control technique has real potential for real-time implementation.

关键词： Nonlinear control systems MIMO Nonlinear systems Engines Neural networks Ignition Least squares methods Nonlinear dynamical systems System testing Sparks

来源：评论

学校读者我要写书评

暂无评论

Model structure selection for nonlinear system identification using feedforward neural networks

Model structure selection for nonlinear system identificatio...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： I. Petrovic M. Baotic N. Peric Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation University of Zagreb Zagreb Croatia

The majority of nonlinear models based on neural networks are of the black-box structure. A nonlinear system can be nonlinear in many different ways, thus the nonlinear black-box model structure must be very flexible. This means that it must have many parameters. A model offering many parameters usually creates problems, and the variance contribution to the error might be high. For a particular identification problem, only a subset of the parameters may be necessary, and the main topic in nonlinear system identification is how to select a model structure that describes the system dynamics with the minimum number of parameters. This paper discusses nonlinear input-output models that are suitable for implementation of feedforward neural networks. The proposed model structures were tested and compared using the identification procedure of a pH process. The results indicated that a simplest model structure can satisfactorily represent the investigated process.

关键词： Nonlinear systems Neural networks Feedforward neural networks Nonlinear dynamical systems control engineering computing Computer networks Predictive models Automatic control Nonlinear control systems automation

来源：评论

学校读者我要写书评

暂无评论

AC Induction Motor Closed Loop Vector control Design and Program Realisation

引用

IFAC Proceedings Volumes 2000年第1期33卷 183-188页

作者： M. Žalman I. Bélai J. Jovankovič M. Abelovský Department of Automation and Control Faculty of Electrical Engineering and Information Technology Slovak University of Technology IIkovicova 3 812 19 Bratislava

The article concerns with AC induction motor closed loop direct vector control design. It includes design and program realisation of PI controllers for currents, flux, torque and speed. The system consists of two-pole 1.1 kW motor, IGBT inverter. DSP processor ADSP2101 on ADSP2101 EZ-LAB board and coprocessor ADMC201 on ADMC200-EVAL board. The switching frequency of the inverter is 3 kHz. The both the rotor position for the vector Park-Clark transformations and the rotor speed for the speed control are obtained from an optical encoder of 1024 pulses per evolve.

关键词： Induction motors Motor control Servo Drives Digital signal processors

来源：评论

学校读者我要写书评

暂无评论

Integrated Learning Environment for control Education

引用

IFAC Proceedings Volumes 2000年第31期33卷 253-258页

作者： Mikuláš Huba Katarína Žáková Dept. of Automation and Control Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 Bratislava Slovakia

Present trends in education are dominated by the shift from the traditional teacher-centred to the learner-centred approaches. Needs of new target groups, together with the development of the multimedia and ICT lead to radical changes in the learning environment and to necessity of the new learning organization. This paper is reporting about experience in developing such a new environment at the Department of automation and control, FEI STU in Bratislava, in cooperation with the Local Centre of Distance Education.

关键词： control education Multimedia Laboratory education Resource Based Learning Teleexperiments Flexible Learning

来源：评论

学校读者我要写书评

暂无评论

Fuzzy controller with Variable Structure Tuning

引用

IFAC Proceedings Volumes 2000年第13期33卷 515-520页

作者： Ivan Masár Igor Jucha Milan Žalman Department of Control and Automation Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia

Fuzzy control belongs towards recently often-used control algorithms. The fuzzy controller can work like a classical feedback controller or like a superior control system that can choose some control algorithm in dependence on the working point of the controlled system. The combination of these two possibilities was chosen in our case because our main aim was design of the fuzzy controller for an inverted pendulum. This paper describes the fuzzy control foundations, control structure tuning with a Takagi-Sugeno fuzzy controller and a case study - an inverted pendulum control.

关键词： Fuzzy control variable structure control

来源：评论

学校读者我要写书评

暂无评论

Parameter Identification of Wiener Systems with Two-Segment Nonlinearities

引用

IFAC Proceedings Volumes 2000年第13期33卷 95-99页

作者： Jozef Vörös Slovak Technical University Faculty of Electrical Engineering and Information Technology Department of Automation and Control Ilkovicova 3 812 19 Bratislava Slovakia

The paper deals with the parameter identification of Wiener systems having two-segment polynomial nonlinearities. Application of a simple decomposition technique provides a special form of Wiener model that is linear-in-parameters. This allows simultaneous estimation of all the model parameters. To demonstrate the feasibility of the identification method, more illustrative examples are included and analyzed.

关键词： nonlinear systems parameter identification Wiener model two-segment nonlinearity

来源：评论

学校读者我要写书评

暂无评论

Automatic control of Amorph Bands Reeling System

引用

IFAC Proceedings Volumes 2000年第13期33卷 613-618页

作者： Václav Kalaš Faculty of Electrical Engineering and Information Technology Department of Automation and Control Ilkovičova 3 812 19 Bratislava fax: +421 7 6542 9521

The contribution is oriented to the area of automatic control of the amorph bands reeling. The bands are produced by the technology of fast cooling. The process of bands production runs at velocities approx. 30 m/s. In the article there is presented the original method to capture the band beginning into the special reeling device that is automatically controlled. This method is patented by the author. The problem is in extremely difficult control of the abducting forces in the variable structure system with variable parameters.

关键词： tensile forces generator current and velocity servosystem non-stationary moment of inertia variable conversion ratio dynamical torques control computer the principle of invariance

来源：评论

学校读者我要写书评

暂无评论

Robust stabilization of uncertain delayed systems: application to model-following systems

Robust stabilization of uncertain delayed systems: applicati...

引用

SICE Annual Conference

作者： K. Uahchinkul J. Ngamwiwit S. Phoojaruenchanachai Department Control Engineering Faculty of Engineeting ReCCIT KMITL Thailand Computer Automation Technolgy Laboratory NECTEC NSTDA Thailand

ISBN: (纸本)078039805X

In this paper, we present the theoretical development to stabilize a class of uncertain time-delay system and its application to model-following systems. The system under consideration is described in state space model containing state delay, uncertain parameters and disturbance. The main idea is to reduce the state of system into an equivalent one, by employing generalized transformation, which is easier to analyze its behavior and stability. Then, the min-max approach is employed to find the stabilizing control law. After that, a class of model-following system is introduced for controlling the error between the model and process. With the extended theorem, the suitable control law that guarantees model tracking is derived. Finally, two numerical simulations are illustrated to show the algorithm for applying the proposed theorems and the effectiveness of the designed control law in stabilizing the controlled systems.

关键词： Robustness Delay systems

来源：评论

学校读者我要写书评

暂无评论

Discrete state feedback of linear continuous systems with constraints

Discrete state feedback of linear continuous systems with co...

引用

American control Conference (ACC)

作者： Li-Sheng Hu Y.-Y. Cao Hui-He Shao Department of Automation Shanghai Jiaotong University China Department of Measurment and Control Faculty of Electrical Engineering Duisburg University Duisburg Germany

Sufficient and necessary conditions for nonlinear impulsive systems considering linear constraints with bounded additive disturbances are obtained from a characterization of positive invariance properties for these systems. As the application of results obtained, the sufficient conditions for discrete state feedback control and for asymptotic stabilization of the linear uncertain systems with the state positively asymmetrical invariant set are presented. Finally, a numerical example is given.

关键词： State feedback Continuous time systems control systems Linear systems Robust control Linear feedback control systems Uncertain systems Robust stability Digital control Additives

来源：评论

学校读者我要写书评

暂无评论

Robust sampled-data control for vehicle steering systems

Robust sampled-data control for vehicle steering systems

引用

IEEE Conference on control Technology and Applications (CCTA)

作者： Li-Sheng Hu Yong-Yan Cao Hui-He Shao Department of Automation Shanghai Jiaotong University Shanghai China Department of Measurement and Control Faculty of Electrical Engineering Duisburg University Duisburg Germany

In industrial control, computer control is widely used, which makes the closed-loop system be a sampled-data one containing continuous time and discrete time signals. In contrast to the traditional approximation methods, sampled-data synthesis is a direct digital controller design procedure without approximation. Sampled-data control which is capable of stabilizing general nonlinear systems with the intersample behavior taken into account are of great current interest. In the paper robust sampled-data control for a class of nonlinear parametric uncertain systems with constraints on the output imposed by time-domain performances is proposed. Based on the result of robust asymptotic stability of sampled-data systems with constraints on the state, robust sampled-data control for a class of uncertain nonlinear systems with constraints on the output is developed. The problem is formulated for vehicle steering control with constraint on the side slip angle of body. The result is described by some matrix inequalities which could be solved by a proposed iterative algorithm based on the linear matrix inequality technique. Finally, a numerical example is presented to show the result.

关键词： Robust control control systems Vehicles Steering systems Nonlinear control systems Nonlinear systems Robust stability Linear matrix inequalities Industrial control Approximation methods

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：