The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a Simulink implementation of the CMAC controller which was proposed by J.S. Albus. The controller was implemented using the MatlAB S-function so that it can be used by a control engineer working on the Simulink platform to study the feasibility of using the CMAC controller for his control application. Simulations with various quantization levels and learning rates were done for...
This work presents a model-based networked control structure with a feedback-based communication policy for spatially distributed processes modeled by highly-dissipative nonlinear PDEs with measurement sensors that transmit their data to the controller/actuators over a resource-constrained wireless sensor network. Initially, a finite-dimensional system that captures the slow dynamics of the PDE is...
The composition and control process of the ball and beam system are introduced in the paper, a mathematical model of ball and beam system based on Lagrange equations is set up with the application of the energy balance principle concerning dynamics, and on the base of analysis on such model, the design of a controller is worked out by utilizing the techniques of adaptive neural network. A reference...
Consider an interconnection of an unknown or partially known linear plant and a known linear stabilizing controller, and assume that some knowledge of the closed-loop system is available. Suppose, on the basis of that knowledge, the use of a new controller appears attractive. We provide analysis and introduce novel tests utilizing a limited amount of experimental and possibly noisy data obtained from...
This note is concerned with the model reference adaptive tracking problem of singular nonlinear systems with nonlinear parametrization where the nonlinearity in the parameters is convex or concave. Applying the standard coordinate transformation to the singular system to yield a reduced-order normal system, we convert the model reference adaptive tracking problem of singular system into the model...
The heat exchange of distilled water unit is a very complex process.The main steam pressure and temperature are tightly coupled with the pressure of raw water, temperature and flow in the circuit, and show non-linear relationship. There are two important parameters need to be controlled in water production process: conductivity and temperature of distilled water at the exit. This is a typical double...
In this paper the operation of a recently introduced novel version of the popular “Model Reference Adaptive Controller (MRAC)” is compared with that of a simple version of its possible traditional implementations. The “traditional implementations” normally use Lyapunov's 2nd (“direct”) method for adaptive tuning of the controllers' parameters. This method yields global asymptotic stability but its...
Quality of Service (QoS) is essential to data centers, which requires effective schemes to manage the flows among numerous servers. However, existing management techniques mainly focus on the QoS issues over Internet. This paper presents a Dynamic Feedback Control flow management model for data centers, called DFC, to achieve performance improvement and fault-tolerance. Based on the new model, mechanisms...
Traffic congestion has become a major problem in today's society. It may cause a great waste of material and human casualties. We think the fixed-time-state traffic light control scheme is one important reason. An intelligent traffic light control scheme is necessary in order to give a solution to this problem. The paper proposes a model to describe a road cross. In terms of dynamic and real-time...
To solve the shortcomings of traditional PID controller in dealing with disturbance rejection and robustness and the over-reliance on mathematical model of the controlled system, a model-free adaptive control algorithm based on linearization of partial format is proposed for discrete-time MIMO nonlinear systems. In this algorithm, nonlinear system is linearized by linearization of partial format method...
System evolution, such as addition or replacement of a component, may necessitate complete re-design. Such redesign may be needed to respect new or updated requirements. The models then have to be modified. In this paper, we present a procedure for reconfiguration of a discrete event system (DES) controller. Based on supervisory control theory (SCT), the objective of this work is to show how the SCT...
In this paper, an intelligent approach based on system-centric controller to develop a power system stabilizer is proposed. The approach discuss a methodology that designs a hybrid controller with two algorithms, one a Neural Network (NN) based controller with explicit neuro-identifier, and the other, an adaptive controller evolved from a Model Reference Adaptive Controller (MRAC). This design performs...
Electrically Controlled Rotor (ECR) is a new concept rotor system which was brought forward at the beginning of the 21st century. A control strategy of the ECR system is given out in this paper. An adaptive blade pitch control strategy of the ECR system is proposed, which is based on the adaptive filter with least mean aquare (LMS) algorithm. A secondary path on-line identification method with random...
Three-motor variable-freqency speed-regulation synchronous system is a multi-input multi-output(MIMO), nonlinear, and coupling system. The mathematic model of the system is established in the way of analytical expression. Self-tuning PID controllers based on DRNN neural network and neuron decoupling compensator are adopted to realize the adaptive decoupling control of speed and tension. The experiment...
The pinning control problem of complex networks has been widely investigated recent years. However, there does not exist a widely accepted pinning scheme which can be applied to the synchronization of complex networks. This contribution gives a novel pinning scheme which based on the famous PageRank algorithm to make the network realize synchronization as fast as possible. Numerical simulation indicates...
The Organic Network Control (ONC) system has been developed to adapt the parameters of network protocols dynamically to changes in the environment in order to increase the protocol's performance. In order to apply the system to new environments without the need of providing knowledge it is equipped with a simulation-based rule-generation and evaluation component on top of an on-line rule selection...
The increasing complexity of large-scale distributed applications motivates the study and development of self-organising systems. However, engineering self-organising systems is still a challenge. Despite their benefits, self-organising systems suffer from a lack of control and stability, so that methods and tools are needed for improving their understanding and control. In this paper, we consider...
In this paper we revisit our earlier proposed domain model based approach to requirements management from a situational method engineering perspective. The approach has originally been developed dedicatedly for a small- and medium-sized enterprise (SME) in the field of control system development. Broadening the perspective by considering situational method engineering helps to generalize the approach...
In the design of plants and machines the complexity is permanently increasing. Model-driven design methodologies in the field of Industrial Automation and Control Systems, as proposed by the MEDEIA project, help to cope with current requirements like limited budget and reduced ramp-up time. Concurrent development in all involved domains is facilitated by the introduction of simulation in the development...
This paper presents an Adaptive Predictive Control strategy based on Neural Networks for nonlinear systems. In order to train the Neural Network controller, an identification of the system is carried out by the Neural Network Identifier. This second Neural Network provides the training terms related to the nonlinear system dynamics. In this way it is possible to train the Neural Network controller...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.