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With the continuous development of the national economy and science and technology, the scope of the application of images is constantly expanding. The image has many uncertainties, and the improvement of this feature is often blurred and can not be accurately calibrated, which results in complex and diverse processing techniques. Image smoothing and edge detection are very important feature technologies...
This paper develops two robust adaptive controllers for UAVs. The first controller is the robust adaptive PID based on fuzzy logic. The other is the intelligent flight controller based on ANFIS. The simulation results exhibit the robustness of the developed controllers. Likewise, the results present that the intelligent flight controller based on ANFIS produces better robustness performance than robust...
Navigation of mobile robots in dynamic and unknown environments is usually cluttered with noise and errors. In the literature, several solutions have been proposed. Recently, type-2 fuzzy logic have showed having the ability to handle uncertainties, imprecise and incomplete data. Since, it has been constituted a new hopeful and promising technique for further improve control of mobile robots in real...
Generalised Modus Ponens (GMP) allows to perform logical inference in the case where an observation partially matches the premise of an implication, enriching the rule exploitation as compared to binary classical logic. This paper proposes to further enhance the rule exploitation, integrating additional constraints to guide the inference, both to reduce uncertainty in case of partial match and to...
According to the actual circumstance of the intersection, reasonably adjusting traffic light time can help to ease traffic pressure and save transportation time. In this paper, Interval type - 2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting, and five words are used to cover the range of adjusting lights' time, finally according to the average number of stranded...
This paper proposes the implementation of Fuzzimetric Arcs concept, which was originally designed for Fuzzy Type-1. The concept has been extended in this paper to accommodate the Fuzzy type-2 notation. The new proposed representation of Fuzzy Type-2, termed in this paper as Fuzzimetric Type-2, includes the definition of “Degree of Fuzziness” (DOF), that allows the fuzzy set to be located fuzzily (randomly)...
In this paper, adaptive interval type-2 fuzzy proportional integral (PI) control scheme to attenuate fast and large disturbance for a class of uncertain nonlinear time delay systems is proposed. By incorporating adaptive interval type-2 time delay fuzzy logic controller (AT2DFLC) with PI controller, not only the typical switching law chattering can be significantly attenuated but also the instability...
Many research efforts have been made to develop the slider-crank mechanism. Design of a genetic-fuzzy inverse controller for a slider crank mechanism with the piston cylinder drive is studied. This mechanism converts the translating motion into rotating motion. In this approach, the computed torque is implemented to obtain high speed and precise position tracking also; compensation of unknown uncertainties...
In this paper, an observer-based robust adaptive fuzzy control strategy is presented for uncertain nonlinear dynamical systems subject to non-symmetric dead-zone nonlinearity. Within this scheme, fuzzy logic systems are used to estimate unknown nonlinear function of the dynamic system and unknown upper bounds of unmatched uncertainties, respectively. A state observer based on state variable filters...
It has been suggested that, when faced with large amounts of uncertainty in situations of automated control, type-2 fuzzy logic based controllers will out-perform the simpler type-1 varieties due to the latter lacking the flexibility to adapt accordingly. This paper aims to investigate this problem in detail in order to analyse when a type-2 controller will improve upon type-1 performance. A robotic...
This paper mainly discusses a design method of the sliding mode variable structure controller based on fuzzy logic scheme for a position servo system, which contains nonlinearity and uncertainty. In order to accelerate the reaching phase and reduce chattering, the exponential approach law is adopted as the control function. Simulation results show that the new control algorithm exhibits the better...
The speed tracking control of induction motors with parameter uncertainties and load torque disturbance is addressed. Fuzzy logic systems are used to approximate the nonlinearities and an adaptive backstepping technique is employed to construct controllers. The proposed adaptive fuzzy controllers guarantee that the tracking error converges to a small neighborhood of the origin and the controllers'...
In this paper, perfect trajectory tracking of a non-holonomic Wheeled Mobile Robot (WMR) is developed. The Feedback Linearization (FL) methods may be used to make convergence of WMRs on desired position, and orientation trajectories. Due to the weak performances against exogenous signals, the FL controller is replaced by a Sliding Mode Controller (SMC). Using the SMC with a saturation term may not...
In this paper, an indirect adaptive fuzzy sliding mode control approach is proposed for anti-swing and position control of overhead cranes taking into account the uncertainty of load mass. The approach employs a sliding surface that couples the trolley motion and load swing dynamics to regulate the trolley position and guarantee the stability of swing dynamics, and applies the fuzzy logic systems...
In next generation cellular networks, Quality of Service (QoS) delivery will need more network resources per user, leading to network congestion problems. Call Admission Control (CAC) is the process in charge of managing calls according to the availability of network resources. In order to overcome the problem of network congestion, the CAC should tackle pricing policies, improving by the same way...
Wind energy is becoming one of the most important and promising areas of renewable energy. During the past few years, wind energy generation underwent strong improvements in several fields including power electronics, mechanics, wind dynamics, etc. However, there is a high need to develop more intelligent control mechanisms that can handle the various sources of uncertainties encountered in wind turbines...
One of the biggest challenges in Software Engineering is accurately forecasting how much time and effort it will take either to develop a system. So far no model has proved to be successful at effectively and consistently predicting software development cost due to the lot of uncertainty factor of input size. In this paper we proposed an Interval Type 2 Fuzzy logic for software cost estimation. The...
In this paper, an adaptive fuzzy logic based control scheme is introduced for the inverted pendulum motion and posture control problem. The adaptive control strategy consists of a Lyapunov stability-based online adaptation technique that leads to motion tracking and posture control. Unlike other control strategies, no a priori offline training, weights initialization, or parameters knowledge is required...
Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially “fuzzy fuzzy” sets where the fuzzy degree of membership is a type-1 fuzzy set. The new concepts were introduced by Mendel and Liang allowing the characterization of a type-2 fuzzy set with a superior membership function and an inferior...
In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated...
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