Showing 1-25 of 13,893 resultsfor "Index Terms":Dynamic Fuzzy
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Dynamic task scheduling using fuzzy logic in distributed memory systems
2010 The 7th International Conference on Informatics and Systems (INFOS)
Year: 2010 | Conference Paper |
The scheduling and mapping of the precedence-constrained task graphs of parallel programs to processors is considered one of the most crucial NP-complete problems in parallel and distributed computing systems. In this paper, a dynamic task scheduling model based on fuzzy logic is proposed. The main objective of this technique is to improve the fuzzy decision which is used in task scheduling on a n...Show More
A Dynamic Fuzzy Neural Networks Controller for Dynamic Load Simulator
2006 International Conference on Machine Learning and Cybernetics
Year: 2006 | Conference Paper |
Cited by: Papers (9)
This paper presents the design, development of dynamic load simulator based on dynamic fuzzy neural networks (D-FNNs) controller. Dynamic load simulator (DLS) can reproduce desired load torque acting on loaded object to test its performance and stability. In DLS, the redundancy torque caused by the motion of loaded object has a very poor effect on the loading accuracy. So a simplified dynamic mode...Show More
On Chaos Character of Dynamic Fuzzy Neural Network
2011 Fourth International Joint Conference on Computational Sciences and Optimization
Year: 2011 | Conference Paper |
The chaos character of dynamic fuzzy neural network is further explored and analyzed in this paper applying the traditional Lyapunov exponent method. Firstly, the working principle of dynamic fuzzy neural network is introduced, and then the discretization network model is given by Euler method. The dissipation and chaos traits of single dynamic fuzzy neuron and dynamic fuzzy neural networks are pr...Show More
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi–Sugeno Fuzzy Models
In this paper, we introduce a new algorithm for incremental learning of a specific form of Takagi–Sugeno fuzzy systems proposed by Wang and Mendel in 1992. The new data-driven online learning approach includes not only the adaptation of linear parameters appearing in the rule consequents, but also the incremental learning of premise parameters appearing in the membership functions (fuzzy sets), to...Show More
Decentralized dynamic output feedback controller for nonlinear interconnected systems with time delay: Fuzzy logic approaches
2008 International Conference on Control, Automation and Systems
Year: 2008 | Conference Paper |
Cited by: Papers (1)
This paper discusses the decentralized dynamic output feedback stabilization for nonlinear interconnected systems with time delay. We develop the fuzzy interconnected system by using the Takagi-Sugetno (T-S) fuzzy system. The decentralized dynamic output feedback controller is designed to stabilize the fuzzy interconnected system. To guarantee the sufficient condition of stability, we use Lyapunov...Show More
An improved online self-organizing dynamic fuzzy neural network for nonlinear dynamic system identification
2016 UKACC 11th International Conference on Control (CONTROL)
Year: 2016 | Conference Paper |
In the area of neural fuzzy control, how to generate fuzzy rules for structural learning is a key issue. In this paper, an improved online self-organizing dynamic fuzzy neural network for nonlinear dynamic system identification. The system is a five-layered network, which features coalescence between Takagi-Sugeno-kang fuzzy architecture and dissymmetrical Gaussian functions as membership function...Show More
A Dynamic Neuro-Fuzzy Controller for Gas-Fired Water Heater
2008 Fourth International Conference on Natural Computation
Year: 2008 | Conference Paper |
Cited by: Papers (4)
This paper presents the dynamic neuro-fuzzy control system for controlling a gas-fired water heater. The controller proposed in this paper is comprised of a fuzzy logic controller (FLC) in the feedback configuration and two dynamic neural networks in the forward path. A dynamic identification network (DIN) is used to identify the output of the manipulator system, and a dynamic learning network (DL...Show More
A dynamic inverse control law for hypersonic vehicles based on fuzzy logic
2014 International Conference on Mechatronics and Control (ICMC)
Year: 2014 | Conference Paper |
An integrated control law is presented considering a nonlinear model of generic hypersonic vehicle as a plant. Based on dynamic inverse theory, the nonlinear model is transformed into an equivalent affine system. Then a dynamic inverse controller could be designed according to the equivalent system. What's more, two fuzzy logic regulars are used to adapt control parameters on line, and the fuzzy r...Show More
Fuzzy neural network structure of linguistic dynamic systems based on nonlinear particle swarm optimization
2008 3rd International Conference on Intelligent System and Knowledge Engineering
Year: 2008 | Conference Paper |
Linguistic dynamic systems (LDS) are dynamic processes involving computing with words instead of numbers for modeling and analysis of complex systems. In this paper, a fuzzy neural network (FNN) structure of LDS base on nonlinear particle swarm optimization was proposed. Finally, experiment results on logistics formulation demonstrated the feasibility and the efficiency of the proposed FNN model.Show More
The Application of Adaptive Fuzzy Inference Model in the Nonlinear Dynamic System Identification
2009 Second International Conference on Intelligent Computation Technology and Automation
Year: 2009 | Conference Paper |
As the selection of the membership function affects the performance of fuzzy control system in the modeling of adaptive fuzzy inference, a kind of Gaussian-type membership function is proposed in this paper. It can change the shape of membership function adaptively with the changes of the system parameters, then the establishment of adaptive fuzzy inference model is completed. The structure of ada...Show More
Based on analyzing the status and existing questions of voltage and reactive power integrated control for substations, this paper presents a new voltage and reactive power control system based on fuzzy logic and dynamic borderline applying fuzzy control theory. Simulation tests and practical running have proved that this approach can reduce the adjust times of transformer tap and capacitor effecti...Show More
Study on the structure and algorithm of a feedback fuzzy controller
2008 IEEE Conference on Cybernetics and Intelligent Systems
Year: 2008 | Conference Paper |
This paper presents the structure and algorithm of a new fuzzy logic controller which contains a feedback of control action in its input and therefore is called dynamic fuzzy controller, mainly studies the first-order dynamic fuzzy controller and six new corresponding fuzzy inference rules are given. The results show that the performances of the control systems with the first-order dynamic fuzzy l...Show More
Dynamic Output Feedback Control Synthesis for Continuous-Time T–S Fuzzy Systems via a Switched Fuzzy Control Scheme
This correspondence paper is concerned with the problem of designing switched dynamic output feedback H infin controllers for continuous-time Takagi-Sugeno (T-S) fuzzy systems. A new type of dynamic output feedback controllers, namely, switched dynamic parallel distributed compensation (SDPDC) controllers, is proposed, which are switched by basing on the values of membership functions. A new metho...Show More
Recently, more and more traditional services are being migrated into a cloud computing environment that makes the quality of service (QoS) becomes an important factor for service selection and optimal service composition while forming cross-cloud service applications. Considering the nonlinear and dynamic property of QoS data, it is so difficult to achieve dynamic prediction while designing a QoS ...Show More
Fuzzy-based Dynamic Event-triggered Control for Uncertain Nonlinear Systems
2024 3rd Conference on Fully Actuated System Theory and Applications (FASTA)
Year: 2024 | Conference Paper |
It is a pendent problem to accomplish dynamic event-triggered tracking for uncertain nonlinear systems (UNS) with unmeasured state and unmatched control input by feat of backstepping technique. In this article, we present a control solution to deal with the issue under backstepping frame. First, a fuzzy-based state observer is established to estimate unmeasured states of the system. Then, a dynami...Show More
Switching Fuzzy Dynamic Output Feedback $H_{\infty}$ Control for Nonlinear Systems
This paper studies the problem of dynamic output feedback H ∞ control for nonlinear systems, which are described by Takagi-Sugeno fuzzy parts with measurable premise variables and uncertainty parts. The uncertainties are parameter dependent, unknown, and time varying but bounded. A switching fuzzy dynamic output feedback control scheme is proposed, which depends on the measurable premise variables...Show More
An Interval Type-2 Fuzzy Dynamic Approach To Replacement of Server Equipment
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Equipment replacement decision which aims to find the best time to retire an old system is a key element in the planning process. Replacement scenarios consider the life span associated to each equipment category and the replacement of the obsolete equipment by an equivalent during the remaining life span after its obsolescence. This multi-stage decision-making problem can be solved by dynamic pro...Show More
Development and analysis of fuzzy priority rules for scheduling a dynamic job shop production system
2008 IEEE International Conference on Industrial Engineering and Engineering Management
Year: 2008 | Conference Paper |
Cited by: Papers (2)
This paper focuses on development and analysis of scheduling rules using fuzzy logic for scheduling a dynamic job shop. A discrete-event simulation model is developed for the purpose of experimentation. Six scheduling rules from the literature are incorporated in the simulation model. Three scheduling rules using fuzzy logic approach have been developed and analyzed. The max-min composition method...Show More
Fuzzy based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form
2009 9th International Conference on Electronic Measurement & Instruments
Year: 2009 | Conference Paper |
Cited by: Papers (3)
This paper provides a simplified design scheme for the control of a class of nonlinear systems in strict-feedback form by incorporating dynamic surface control (DSC) method into an adaptive fuzzy logic system. The DSC method overcomes the problem of ldquoexplosion of complexityrdquo in the traditional backstepping design. Fuzzy logic system (FLS) is used to approximate the nonlinear uncertainty. A...Show More
A DENCLUE based approach to neuro-fuzzy system modeling
2010 2nd International Conference on Advanced Computer Control
Year: 2010 | Conference Paper |
Cited by: Papers (4)
In order to solve the problems of difficulty to determine the number of partitions and rule redundancy in neuro-fuzzy system modeling, this paper presents a new approach based on DENCLUE using a dynamic threshold and similar rules merging (DDTSRM). By introducing DDT, which uses a dynamic threshold rather than a global one in merging density-attractors in DENCLUE, our approach is good at determini...Show More
Sliding Mode Control of Fuzzy Dynamic Systems
2006 9th International Conference on Control, Automation, Robotics and Vision
Year: 2006 | Conference Paper |
Cited by: Papers (6)
In this paper, a sliding mode control scheme is developed for a class of complex nonlinear systems with their T-S fuzzy models. It is shown that a set of extreme fuzzy subsystems are first derived, and a constructive sliding mode control law is then developed to guarantee the stability of the closed-loop fuzzy system. Simulation results are presented in support of the proposed schemeShow More
An Adaptive Dynamic Matrix Control of a Boiler-Turbine System Using Fuzzy Inference
2007 International Conference on Intelligent Systems Applications to Power Systems
Year: 2007 | Conference Paper |
Cited by: Papers (4)
This paper proposes an adaptive dynamic matrix control (DMC) using fuzzy inference and its application to boiler-turbine system. In a conventional DMC, object system is described as a step response model (SRM). However, a nonlinear system is not effectively described as a single SRM. In this paper, nine SRMs at various operating points are represented as fuzzy inference rules. On-line fuzzy infere...Show More
Based on analyzing the status and existing questions of voltage and reactive power integrated control for substations, this paper presents a new voltage and reactive power control system based on fuzzy logic and dynamic borderline applying fuzzy control theory. Simulation tests and practical running have proved that this approach can reduce the adjust times of transformer tap and capacitor effecti...Show More
Fuzzy modeling and control for Autonomous Underwater Vehicle
The 5th International Conference on Automation, Robotics and Applications
Year: 2011 | Conference Paper |
Cited by: Papers (19)
Autonomous Underwater Vehicles (AUVs) have gained importance over the years as specialized tools for performing various underwater missions in military and civilian operations. The autonomous control of underwater vehicles poses serious challenges due to the AUVs' dynamics. AUVs dynamics are highly nonlinear and time varying and the hydrodynamic coefficients of vehicles are difficult to estimate a...Show More
Research on the Application of Dynamic Fuzzy Logic in Intelligent Knowledge Base System
2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)
Year: 2017 | Conference Paper |
With the Big data under the background of artificial intelligence -AI is increasingly popular, the core role of knowledge base system experts in the increasingly emerge, but whether the automatic driving or artificial recognition need to deal with a lot of expert knowledge data AI, and the expert knowledge not only is fuzzy, and has dynamic. This paper from a new perspective, a comprehensive inter...Show More
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