Advantages of Fuzzy Control While Dealing with Complex/Unknown Model Dynamics: A Quadcopter Example
Power electronics systems are commonly comprised of nonlinear time-varying components which impose an overall complex dynamic behavior. As these systems are commonly integrated together as actuators with electric machinery or…
Fuzzy Logic Control of Switched Reluctance Motor Drives
The switched reluctance machines could be claimed to have a pivotal role in the changes in electrical machines technology since the mid-1960s. Switched reluctance motor (SRM) torque is generated by…
Comparison Study of AI-based Methods in Wind Energy
The important environmental advantages of renewable energy sources have been significantly noticed, which results in most industrialized countries committed to developing the installation of wind power plants . The share…
Intelligent System for Controlling a Three-Phase Active Filter
The nonlinear elements contained by electrothermal installation lead to three main negative effects, which are reflected in the power quality: circulation of reactive power, appearance of harmonic currents and unbalance…
Applications of Neural Networks
Before studying the fields where ANN has been used extensively, we need to understand why ANN would be the preferred choice of application. Why Artificial Neural Networks? We need to…
Artificial Neural Network – Genetic Algorithm
Nature has always been a great source of inspiration to all mankind. Genetic Algorithms (GAs) are search-based algorithms based on the concepts of natural selection and genetics. GAs are a…
Other Optimization Techniques
Iterated Gradient Descent Technique Gradient descent, also known as the steepest descent, is an iterative optimization algorithm to find a local minimum of a function. While minimizing the function, we…
Optimization Using Hopfield Network
Optimization is an action of making something such as design, situation, resource, and system as effective as possible. Using a resemblance between the cost function and energy function, we can…
Brain-State-in-a-Box Network
The Brain-State-in-a-Box (BSB) neural network is a nonlinear auto-associative neural network and can be extended to hetero-association with two or more layers. It is also similar to Hopfield network. It…
Boltzmann Machine
These are stochastic learning processes having recurrent structure and are the basis of the early optimization techniques used in ANN. Boltzmann Machine was invented by Geoffrey Hinton and Terry Sejnowski…
