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A fuzzy codesign approach is proposed to deal with the controller — scheduler design for a networked control system which is physically distributed using a shared communication network. In the proposed approach, a fuzzy controller is applied to generate a control law for different sampling periods, the configuration supposes a strict actuation period vanishing the jitter. A neural uncertainty estimator...
Control system based on traditional PID (TPID) algorithm is one of the most effective solutions in modern industries. In the meantime, the fuzzified PID (FPID) controller has also been researched in multiple disciplines for its better robustness and transient performance. This paper is aimed to improve a versatile procedure to determine the fuzzy I/O scaling factors automatically. First, it takes...
Aiming at the unreasonable setting of traffic signal time, in this paper, a fuzzy control method based on time-varying universe is proposed to reduce vehicle delay time and relieve the serious congestion at signalized intersections. The dynamic fuzzy rules which are used to optimize the fixed signal timing method are given. The traffic date at the intersection of Yuhua District in Changsha is taken...
In recent decades, due to the gradual emergence of urban traffic problems, Development of Urban Intelligent Traffic Control System is getting to arouse the study of researcher. Therefore, this paper mainly studied on intelligent traffic control of the city from a regional perspective. This paper firstly introduces the division of traffic control sub-region. Secondly, this paper discriminated the traffic...
Among most of industrial control system, the time delay generally exists due to the actuator's own mechanical properties, which will produce the problem of force response delayed. And actuators are the main elements in Dynamic Positioning (DP) ships, thus it is necessary to solve the problem about time delay. Considering of the environmental disturbances, output response could be delayed and the environmental...
This paper investigates the problem of network-based synchronization via fuzzy variable structure control, where network-induced delay and stochastic actuator assignment are taken into account. By means of an input-output method, sufficient conditions are proposed to ensure mean-square ultimate bounded stability of the synchronization error system. The controller gains can be obtained by solving a...
In this paper, a fuzzy gain scheduling control approach based on gain and phase margins specifications for nonlinear systems with time varying delay, is proposed. A multi-objective particle swarm optimization (MPSO) strategy is defined to tune the fuzzy gain scheduling controller parameters for each operating condition, so the gain and phase margins of the fuzzy control system are close to specified...
Traffic Actuated Control (TAC) is widely used for signal control in isolated intersections. TAC is a responsible method for online traffic data. In TAC, green durations are dynamically determined based on online traffic data. These determinations are subject to predefined static parameters which do not respond to sudden traffic flow changes. One type of these parameters in TAC is maximum green time...
The problem of decentralized piecewise ℋ∞ control for discrete-time large-scale nonlinear systems with time-varying delay is studied. Each nonlinear subsystem in the large-scale system is represented by a Takagi-Sugeno (T-S) model, and the time-varying state delay of each subsystem is assumed to be of an interval-like type. We propose a two-term approximation method to transform the closed-loop fuzzy...
This work presents a supervisory control strategy for Networked Control Systems (NCSs). This shows the identification and control of the plant using the fuzzy theory. The identification was perform through input-output data. The fuzzy model incorporates the delay dynamics within the fuzzy rules. The controller is composed by a nominal control (PID) and a supervisory control which proposed from the...
Time delay often exists in various control and automation process. Systems incorporating time delay, either intentionally or unintentionally are known as Dead Time Systems or Time Delay Systems. The presence of delays alters the performance of the system both at start-up and at steady state. In order to have a better transient and steady state behavior for the time delay system, a PI-Smith controller...
This paper proposes a Fuzzy-Smith compensator based on the modeling error for the time delay compensation of network control system (NCS). When the controlled plant is a nonlinear time-varying system, the identification model error of Smith predictor will change as well, which will lead to a poor control performance. For this problem, the fuzzy control method based on identification model gain self-tuning...
This paper presents a novel Networked Predictive Fuzzy Control (NPFC) framework to deal with the random delays existed in the forward communication channel. It uses the error between the reference and the predictive outputs from a model predictor and the change of error as two input variables of a fuzzy controller. Thus a series of future control actions are generated. These control actions can be...
In this paper, we consider the problem of composite state and output feedback fuzzy control design for fuzzy time-delay systems with uncertainties via descriptor system approach. We can solve all the state and output feedback controller gain matrices, and some common positive-definite matrices via the Lyapunov stability theorem and the tool of linear matrix inequalities (LMIs). Two sufficient conditions...
The effects of climate change and the exponential increase in needs, the issue of saving water wastage becomes more important. The objective of this work is to improve the performance of a station of irrigation by sprinkling which we tried to incorporate a new control law guaranteeing a certain performance. Development is done on a real pumping station. The appearance of a temporal delay and the existence...
Never Stop is an intelligent transportation system with sensor to control the traffic lights at intersection automatically. It utilizes fuzzy control method and genetic algorithm to adjust the waiting time for the traffic lights, consequently the average waiting time can be significantly reduced. A prototype system has been implemented at an EBox-II terminal device, running the fuzzy control and genetic...
Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of...
Fuzzy controller is wildly used in complex systems control as a kind of nonlinear controller based on human experience. The system often performances differently because of unexpected disturbance such as communication delay between the controller and the plant. This paper analyzes the performance of the fuzzy controller with delay by using the describing function method. Paper proposed the describing...
This paper investigates network-based H∞ fuzzy control for a self-balancing two-wheeled inverted pendulum via a T-S fuzzy model. Due to the insertion of a communication network between the pendulum and a fuzzy controller, the fuzzy control is implemented in an asynchronous way. Unlike the existing works, asynchronous constraints on fuzzy membership functions are introduced in deriving some delay-dependent...
Mobility models, which determine the movement pattern of nodes communicating wirelessly, play a vital role in the simulation-based evaluation of Vehicular Ad Hoc Networks. Realistic mobility models enable us to assess the network performance more accurately, and it is required to design a realistic mobility model that mimics the real vehicle scenario. This paper made an attempt to bring out a suitable...
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