Software Defined Networks is an emerging network paradigm which introduces programmability to networks and has the capability to dynamically configure the network. In a traditional IP based network the control part and the data forwarding elements are imposed in a single box that has very limited ability to configure the network, some vendor specific codes run on the forwarding elements to perf...

Parallel solutions to the robot control problem are an attractive alternative to single processor systems as the need for ne motion robot control increases Since multiple processors provide inherent redundancy par allel solutions to the robot control problem also a ord the opportunity to provide a degree of tolerance to both mechanical and control failure In this paper we describe a new robot c...

Nowadays, Fog architecture or Edge is becoming a popular research trend to distribute substantial amount of computing resources, data processing and resource management at the extreme edge wireless sensor networks (WSNs). Industrial communication track in next generation for fourth revolution industrial process. Adopting fog into systems promising technology within architecture. With Software D...

To promise on-line and adaptive traffic engineering in software defined networks (SDNs), the control messages, e.g., the first packet of every new flow and network traffic statistics, should be forwarded from software defined switches to the controller(s) in a fast and robust manner. As many signaling events and control plane operations are required in SDNs, they could easily generate a signifi...

This paper provides a comparative study on the performances of standard PID and adaptive PID controllers tested on travel angle of a 3-Degree-of-Freedom (3-DOF) Quanser bench-top helicopter. Quanser, a well-known manufacturer of educational bench-top helicopter has developed Proportional Integration Derivative (PID) controller with Linear Quadratic Regulator (LQR) for all travel, pitch and yaw ...

In this paper, we design a multi-objective controller ( ) u t to achieve the following three objectives simultaneously. They are pole placement, H∞ norm constraint and individual error state variance constraint for stochastic model reference systems. By using the invariance property of sliding mode control, the matched model reference input and the plant error term will disappear on the sliding...