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This paper presents a visual servo and fuzzy-PID controller to enable underwater robot station-keeping. Movements of underwater robots are easily disturbed by water flow or external factors in a deep-water environment. In this study, control systems are used to adjust the underwater robot's propeller, which reduces chattering of the robot's postures, and visual target feedback and an accelerometer...
In this paper, an innovative transformer load monitoring system by utilizing smart meter data has been designed to determine the daily power profile of distribution transformers. A two-stage load estimator algorithm that combines customer load pattern from smart meters and state estimation (SE) theory is developed to provide the secondary output power of distribution transformers in the low voltage...
In this paper, an innovative transformer load estimation methodology is proposed to determine the daily power profile of distribution transformers. A two-stage load estimator algorithm that combines customer load pattern from smart meters and state estimation (SE) theory is developed to provide the secondary output power of distribution transformers in the low voltage network at a sound accuracy with...
In this paper, a PID controller for the underwater robot station-keeping has presented. The underwater robots are very important for the underwater surveillance. The objective of this study is to describe the development of a depth control for underwater robot. For the posture control of the underwater robot, we employ embedded system to design and develop the prototype of the thruster control system...
Vehicle electrification has become an important measure for greenhouse gas reduction in many countries worldwide. Regardless of what type of electric vehicles (EVs), the on-board battery must be charged via a charger or charging station. In the future, when large numbers of EV chargers or charging stations are connected to distribution systems, there will be a degree of influence on the system operation...
In this paper, the embedded based fuzzy controller is implemented and applied for a car-like mobile robot (CLMR). We present the design and implementation of a fuzzy controller by using a microcontroller. The fuzzy controller utilizes a look-up table to realize fuzzy logic algorithm. The controller of the CLMR receives the information from the IR sensor via two analog-digital converters and a control...
This paper considers the problem of chaos synchronization based on fuzzy sliding mode control and its applications to image encryption. We applied the fuzzy sliding mode controller to achieve chaos synchronization. Then, the Duffing-Holmes chaos states are used to act as the encryption key of cipher text. When their initial values of chaotic states are different, the state sequences are uncorrected...
This paper aims to develop a cerebellar model articulation controller (CMAC)-based 3-axis accelerometer fall detection algorithm and apply in smart Omni-directional mobile robot. When elderly at home or the rehabilitation patients in at hospital rehabilitation., the proposed robot can follow the user with the function of Obstacle-Avoidance. The proposed robot system uses the PIC microcontroller as...
The gyroscope system is widely applied in various areas of engineering. From the state response of the gyroscope system, it is shown that the gyroscope system have highly nonlinearity and chaotic characteristic. In this paper, a novel scheme which use fuzzy sliding mode control (FSMC) is proposed for a gyroscope system. The proof of Lyapunove function is used to verify the error states trajectory...
This paper proposes the terminal fuzzy sliding mode controller for the Duffing-Holmes system. A terminal sliding mode controller can drive the close-loop system to stable in finite time. In this paper, based on a rigorous mathematical analysis and Lyapunov stability theory, a terminal fuzzy sliding mode controller is designed that the controlled system state can be driven to zero state. The terminal...
As far as the general license plate number recognition system is concerned, the traditional image recognition function is so often subjected to external factors that the license plate number recognition accuracy is greatly reduced. The factors such as light, weather, and dirty spots on the plate will produce the so-called miscellaneous points and the existence of these miscellaneous points will obviously...
This paper employs a novel hybrid numerical method combining the differential transformation method and the finite difference method to study the bifurcation and chaotic behavior of a flexible rotor supported by a relative short spherical air bearing (RSSAB) system. The analytical results reveal a complex dynamic behavior comprising periodic, sub-harmonic, quasi-periodic, and chaotic responses of...
In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To overcome these drawbacks, we propose to design an interval fuzzy type-2 controller with the sliding surface. The fuzzy if-then rules are defined based...
In this paper, a fuzzy controller is implemented by an embedded system and applies to the wall-following control of a car-like mobile robot. First, we introduce a model of the car-like mobile robot. Next, we address the design scheme of fuzzy control. According to the expert, the fuzzy rules are constructed. Finally, the feasibility and robustness of the proposed controller are demonstrated by experimental...
This paper presents an adaptive fuzzy sliding mode control (AFSMC) scheme for chaos control of Lorenz system. In this scheme, the reaching law required to drive the system states of Lorenz system to the sliding surface is inferred by an adaptive technique and a set of fuzzy logic rules based upon the output of a sliding mode controller (SMC). The feasibility and effectiveness of the AFSMC scheme are...
This paper studies a robust chaos suppression control of non-autonomous chaotic systems. In the control scheme, a sliding mode controller (SMC) is used to suppress the chaotic horizontal platform (HPS) system excited by harmonic external forces, between which there exists parametric uncertainties. Based on Lyapunov stability theorem, control laws are derived. It is guaranteed that under the proposed...
This paper proposes a method for cardiac arrhythmias recognition using fractal transformation (FT) and neural network based classifier. Iterated function system (IFS) uses the nonlinear interpolation in the map and uses similarity maps to construct various fractal features including supraventricular ectopic beat, bundle branch ectopic beat, and ventricular ectopic beat. Probabilistic neural network...
A new method for design of a classification system using the feature extraction and evolutionary programming (EP) are discussed. In this paper, a neuro-fuzzy classification model (NFCM) is proposed. The optimal fuzzy membership functions of the NFCM are extracted from the training data using EP. The NFCM contains the feature extraction unit and the inference unit. In order to improve the proposed...
This paper presents the design of a nonlinear rule based fuzzy logic controller for the nonlinear dynamic behavior of the probe tip of an atomic force microscope system (AFMs). At first, we use the bifurcation diagram to analysis the complex dynamic behavior of the atomic force microscope system. Next, the positive maximum Lyapunov exponent is obtained to identify that the chaotic motion do exist...
In this study, a robust algorithm with a fuzzy sliding model controller (FSMC) is used to synchronization of a Duffing-Holmes system. The robust algorithm is an output factor of the fuzzy sliding model controller. The control rules of FSMC are based on the Lyapunov stability theorem. The objective of synchronization is to study a master-and-slave system to be synchronized with both uncertainties and...
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