Volume 3 Issue 4
Authors: Ahmed O. El-Rayis; Tughrul Arslan; Khalid Benkrid
Abstract: The development of mobile devices has challenged hardware designers to come up with suitable architectures. Challenges such as power consumption, flexibility, processing power and area are likely to lead to the need for a reconfigurable architecture to cater for the growing demands made of mobile devices, and to suit the needs of the next generation of devices. Parallelism and multifunction in real-time will be the minimum required characteristics of the architectures of such devices. This chapter reviews the currently available reconfigurable architectures. The focus here is on coarse-grain reconfigurable architectures, with particular attention to those which support dynamic reconfiguration with low-power consumption. The capacity for dynamic reconfiguration will be a key factor in defining the most suitable architecture for future generations of mobile devices. This paper describes existing reconfigurable platforms. Their principles of operation, architectures and structures are discussed highlighting their advantages and disadvantages. Various coarse-grain reconfigurable architectures are discussed along with their improvement with time. Finally, the key characteristics which are required for a reconfigurable architecture to be suitable for telecommunication systems are identified. A comparison is given for the various architectures discussed in terms of suitability for telecommunications applications.
Keywords: Coarse Grain Reconfigurable Architecture; FPGA; ASIC; DSP; Dynamic Reconfiguration; Low Power Consumption
Authors: Mireille Bayart; Zine-eddine Meguetta; Blaise Conrard
Abstract: This paper focuses on the robust design of control system instrumentation; it proposes a design approach for determining the best hardware architecture of a control system. This method is based on Structural Analysis which consists of selecting the most relevant input variables of the system, and constructs the model Adaptive Network Fuzzy Inference System ANFIS for modelling the system that is used to quantify the dependability constraints according to Quality of Performance QoP based on the uncertainties measures from the sensors, and actuators implemented in the design phase of the control system. In this work, the speed control system vt+δt of an electrical vehicle is used as an illustrative example. A method to optimize the instrumentation is presented; it uses financial cost and dependability as criteria.
Keywords: Design of a Control System Instrumentation, Structural Analysis, Quality of Performance, ANFIS Model