Design and Implementation of a Negative Feedback Oscillator Circuit Based on a Cellular Neural Network with an Opposite Sign Template
نویسندگان
چکیده
In this paper, explicit amplitude and frequency expressions for a Cellular Neural Network with an Opposite-Sign Template (CNN-OST) under oscillation condition are derived and a novel inductorless oscillator circuit with negative feedbacks, based on this simple structure is designed and implemented. The system is capable of generating quasi-sine signals with tuneable amplitude and frequency which can’t be provided at the same time in the classical oscillator circuits. Key-Words: Oscillator Circuits, Cellular Neural Networks, Quasi-Sine Signals, Curve and Surface Fitting, Operational Amplifiers, Circuit Design.
منابع مشابه
Neural Network Implementation of a Three Phase Regulated PWM AC to Dc Convener with Input Unbalance Correction
Under unbalanced supply condition low order harmonics will appear at the input and output terminals of the PWM AC to DC converter. Based on the positive and negative sequence components, an unbalanced transfer matrix in terms of the input phase voltages is derived. An on-line method using a neural network (NN) is used to implement this transfer matrix. It is shown that by using an additional lo...
متن کاملDesign of an Adaptive-Neural Network Attitude Controller of a Satellite using Reaction Wheels
In this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. Then, an attitude control based on feedback linearization control is designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. In order to eliminate the effect of these uncertainties, ...
متن کاملHardwar Trojan classification and implementation and offer a new detection approach
A hardware attack that enables the attacker to alter the main circuit with malicious hardware during either design or the fabrication process is studied and analyzed. This attack, known as the hardware Trojan, has different objectives such as destroying hardware, changing circuit characteristics or extracting sensitive information. So hardware Trojan detection and hardware security are critical...
متن کاملArtificial Intelligence Based Approach for Identification of Current Transformer Saturation from Faults in Power Transformers
Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...
متن کاملadaptive control of two-link robot manipulator based on the feedback linearization method and the proposed neural network
This paper proposes an adaptive control method based on the feedback linearization technique and a proposed neural network, for tracking and position control of an industrial manipulator. At first, it is assumed that the dynamics of the system are known and the control signal is constructed by the feedback linearization method. Then to eliminate the effects of the uncertainties and external d...
متن کامل