School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. Graduate School of Informatics, Kyoto University, Kyoto 6068501, Japan. Abstract In this paper we explore the relationship between dual decomposition and the consensus-based method for distributed optimization. The relationship is developed by examining the similarities between the two approa...

Many real world control systems usually track several control objectives, simultaneously. At the moment, it is desirable to meet all specified goals using the controllers with simple structures like as proportional-integral (PI) and proportional-integral-derivative (PID) which are very useful in industry applications. Since in practice, these controllers are commonly tuned based on classical or...

The development of neural network that could be used for the control of an industrial process is discussed. Field data from a working distillation column or fractionator of crude oil refinery in Nigeria was used for the development and testing the effectiveness of the controller. The developed controller performed optimally when compared with the installed distributed control system based on pr...

Interaction phenomenon in multi-input multi-output (MIMO) systems is an essential difficulty of controllers planning. To design the appropriate controller in multivariable systems, the interaction in the system must be measured. The theories for planning decouplers are valid only for minimum-phase systems. Nevertheless, the most of physical systems are non-minimum phase. In this paper a new ide...

This paper present a particles swarm optimization (PSO) method for determining the optimal proportional – integral derivative (PID) controller parameters, for the control of nonholonomic mobile robot that involves path tracking using two optimized PID controllers one for speed control and the other for azimuth control. The mobile robot is modelled in Simulink and PSO algorithm is implemented us...

In this article, the problem of voltage and frequency stability in a hybrid multi-area power system including renewable energy sources (RES) electric vehicles has been investigated. Fractional order systems have used to design innovative controllers for both load control (LFC) automatic regulator (AVR) based on combination fractional proportional-integral proportional-integral-derivative plus d...

This paper present a particles swarm optimization (PSO) method for determining the optimal proportional – integral derivative (PID) controller parameters, for the control of nonholonomic mobile robot that involves path tracking using two optimized PID controllers one for speed control and the other for azimuth control. The mobile robot is modelled in Simulink and PSO algorithm is implemented us...

The paper shows that the digital proportional-integral-plus (PIP) controller formulated within the context of non-minimum state space (NMSS) control system design methodology is directly equivalent, under certain non-restrictive pole assignment conditions, to the equivalent digital Smith predictor (SP) control system for time delay systems. This allows SP controllers to be considered within the...