In this paper, an intelligent-gradient based algorithm is proposed to solve time optimal bang-bang control problem. The proposed algorithm is a combination of an intelligent algorithm called improved particle swarm optimization algorithm (IPSO) in the first stage of optimization process together with a gradient-based algorithm called successive quadratic programming method (SQP) in the second s...

In the field of control, various control methodologies and strategies have been devised, tested and implemented in process control and other such control applications. Favourite examples of controllers are proportional, Integral and derivative in parallel and/ or series combinations so far. Controller tuning is also an important aspect of process control. Speaking on control techniques, there a...

The application of neural networks technology to dynamic system control has been constrained by the non-dynamic nature of popular network architectures. Many of difficulties are-large network sizes (i.e. curse of dimensionality), long training times, etc. These problems can be overcome with dynamic neural networks (DNN). In this study, intelligent optimal control problem is considered as a nonl...

The aim of the paper is to present an approach to optimal control of biotechnological processes, described by fuzzy sets which is based on genetic algorithms (GA). It allows more adequate, flexible and intelligent (human oriented) description of bioprocess dynamic and inclusion of this information in an effective and robust optimization procedure. Related algorithms and software are designed an...

introduction: diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. therefore, the patient might be irritated. so, an intelligent method for quick and accurate diagnosis would be crucial. intelligent sys...

in order to reduce the volume and size of distribution power transformer, precise and extended controlling of transformer output, the conventional transformers are replaced by intelligent universal transformers (iuts). in this paper, an iut, typical of iran national grid, with the voltage ratio of 20kv:380 v is designed and simulated. regarding the iut implementation, a cascaded h-bridge invert...

In this paper we attempt to give a historical account of the main ideas leading to the development of non-linear filtering and stochastic control as we know it today. The paper contains six sections. In Section 2 we present a development of linear filtering theory, beginning with Wiener-Kolmogoroff filtering and ending with Kalman filtering. The method of development is the innovations method a...