We survey some randomized search methods for global optimization that are based on sampling from an underlying probability distribution “model” on the solution space. In this approach, the probability model is updated iteratively after evaluating the performance of the samples at each iteration. Such model-based methods include estimation of distribution algorithms (EDAs), the cross-entropy met...

Product information given in purchase situations influences purchase behavior. In online purchase situations, the use of recommendation agents increases the value of product information as information becomes adaptive and thus more relevant to consumers’ information needs. Correspondingly, mobile recommendation agents (MRAs) may also increase the value of product information in bricks-and-morta...

Permanent-magnet-synchronous-machine (PMSM) drives have been increasingly applied in a variety of industrial applications which require fast dynamic response and accurate control over wide speed ranges. At the basis of analysis of the mathematical model of the permanent-magnet synchronous motor (PMSM) and the principle of field-orientated vector control, a novel method for modeling and simulink...

This paper evaluates different types of AC machines and various control techniques for their suitability for the drive system of Alternative Energy Vehicles (AEV). An Indirect Field Oriented (IFO) drive system for the AEV application is chosen and its major problem of detuning is addressed by designing an offline and an online rotor resistance adaptation technique. The offline scheme sets the s...

In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL) controller is used for controlling the rotor speed and Artificial Neural Network (ANN) applied in switching select stator voltage. We estimated the rotor speed by using the Model Reference Adaptive Systems (MRAS). The c...

Generally speed measurement is done with sensor, but disadvantage of sensor is difficult to measure speed at low speeds with sensor. These difficulties are eliminated by using sensor less Flux Orientation Controlled (FOC) . This paper proposes a Model Reference Adaptive System (MRAS) for estimation of rotor speed in FOC. An Induction motor is developed in stationary reference frame and Space Ve...

This paper presents a theory of runtime enforcement based on mechanism models called MRAs (Mandatory Results Automata). MRAs can monitor and transform security-relevant actions and their results. Because previous work could not model monitors transforming results, MRAs capture realistic behaviors outside the scope of previous models. MRAs also have a simple but realistic operational semantics t...

This paper proposes a rotor speed identification method for sensorless induction motor drives based on a model reference adaptive system (MRAS). In this scheme, the error between estimated stator current and real stator current is regarded as the system error to estimate the rotor speed. Adaptive fullorder flux observers for estimating the rotor speed are developed using Lyapunov’s stability th...

Nonlinearity is the inherent characteristics of all the industrial processes. The Classical control approach used for a generation often fails to show better results particularly for non-linear systems and in the systems, whose parameters changes over a period of time for a variety of reasons. Alternatively, adaptive control strategies provide very good performance. The Model Reference Adaptive...

We introduce a new randomized method called Model Reference Adaptive Search (MRAS) for solving global optimization problems. The method works with a parameterized probabilistic model on the solution space and generates at each iteration a group of candidate solutions. These candidate solutions are then used to update the parameters associated with the probabilistic model in such a way that the ...