In this paper, the problem of active vibration control of multi-degree-of-freedom structures is considered. Interval Type2 Fuzzy logic and genetically tuned PID controllers are designed to suppress structural vibrations against earthquakes under the non-linear soil-structure interaction. The advantage of the interval type2 fuzzy logic approach is the ability to handle the non-linear behavior of...

Vehicle classification is an important parameter in Road Traffic Management System. The paper includes vehicle classification using signals from different sensors, process and mix those signals, to extract features helpful to identify vehicle class and also its speed. The important features needed are axle distance, length of vehicle, height of chassis and occupancy time. These features are the...

A novel adaptive fuzzy logic controller (AFC) based on interval type-2 fuzzy is proposed for vehicle non-linear active suspension systems. The adaptive strategy elicited from Least Means Squares optimal algorithm (LMS) is adopted to self-tune lower bounds and upper bounds of interval type-2 fuzzy membership functions (IMFs). The IMFs are utilized in the AFC design to deal with not only non-line...

In this paper, we propose a novel recurrent interval type-2 fuzzy neural network with asymmetric membership functions (RT2FNN-A). The RT2FNN-A uses the interval asymmetric type-2 fuzzy sets and it implements the fuzzy logic system (FLS) in a five-layer neural network structure. The RT2FNN-A is modified from the type-2 fuzzy neural network to provide memory elements for capturing the system’s dy...

In this paper, the interval type-2 fuzzy proportional-integral-derivative controller (IT2F-PID) is proposed for controlling an inverted pendulum on a cart system with an uncertain model. The proposed controller is designed using a new method of type-reduction that we have proposed, which is called the simplified type-reduction method. The proposed IT2F-PID controller is able to handle the effec...

In recent years, quantum computing has gained immense popularity with the production of real computers. Researchers have developed quantum-inspired evolutionary algorithms (QIEAs) to solve combinatorial optimization problems and obtained successful results. As a special case QIEAs, real-coded algorithm (RCQEA) is used in high-dimensional complex problems. this study, novel mechanism rotation ga...

Wireless Sensor Network (WSN) forms an essential part of IoT. It is embedded in the target environment to observe physical parameters based on type application. nodes WSN are constrained by different features such as memory, bandwidth, energy, and its processing capabilities. In WSN, data transmission process consumes maximum amount energy than sensing sensors. So, diverse clustering aggregatio...

Type-2 fuzzy logic systems are an area of growing interest over the last years. The ability to model uncertainties and to perform under noisy conditions in a better way than type-1 fuzzy logic systems increases their applicability. A new stable on-line learning algorithm for interval type-2 Takagi–Sugeno–Kang (TSK) fuzzy neural networks is proposed in this paper. Differently from the other rece...