Within the trend of object-based distributed programming, we present a non-intrusive graphical environment for remote monitoring and steering, IC2D : Interactive Control and Debugging of Distribution. Applications developped using the 100% Java ProActive PDC (Parallel, Distributed and Concurrent) computing library are monitored for ‘free’ by IC2D. As those targetted applications can run on any ...

This paper presents a new control technique based on uncertain fuzzy models for handling uncertainties in nonlinear dynamic systems. approach is applied the stabilization of multimachine power system subject to disturbances. In this case, state-feedback controller parallel distributed compensation (PDC) system, where design laws Lyapunov function method and stability conditions are solved using...

This paper proposes a Time Delay nonlinear dynamic model of HIV-1 (Human Immunodeficiency Virus type 1), introducing the drug consumption efficiencies as the controlling input for the model. The paper also represents the fuzzy T-S representation and the corresponding Fuzzy T-S controller. The controller parameters are tuned using LMIs (Linear Matrix Inequalities). The main focus is on the stabi...

Parallel and distributed computing (PDC) is now considered a threshold concept for computing, embedded in curricula across the globe. While costs of traditional clusters have made developing practical activities challenging, rise low-cost computers, particularly Raspberry Pi, has led to an exploration how PDC can be taught students using Pi clusters. Building on this work, we report our experie...

This paper presents the problem of decentralized robust control for discrete-time fuzzy bilinear interconnected large-scale system. Based on the Lyapunov criterion and the parallel distribute compensation (PDC) scheme, the sufficient conditions are derived to guarantee the robust stability of the overall fuzzy system via bilinear matrix inequalities (BMIs). The V-K iteration algorithm is employ...

A new design scheme of stable adaptive fuzzy control for a class of nonlinear systems is proposed in this paper. The T-S fuzzy model is employed to represent the systems. First, the concept of the so-called parallel distributed compensation (PDC) and linear matrix inequality (LMI) approach are employed to design the state feedback controller without considering the error caused by fuzzy modelin...

The paper presents a practical approach for building highlevel services for teaching parallel and distributed computing based on Everest platform. Originally designed for publication of computing applications, the platform is suitable for rapid development of services for running different types of parallel programs on high-performance resources, as well as services for evaluation of practical ...

This paper presents the relaxed nonquadratic stabilization conditions of discrete-time Takagi–Sugeno (T–S) fuzzy systems. To do this, we propose a new fuzzy controller and Lyapunov function by generalizing the nonparallel distributed compensation (non-PDC) control law and nonquadratic Lyapunov function, respectively. By exploiting Pólya’s theorem and algebraic properties of a homogeneous polyno...

The computer science faculty at Wittenberg University continue to work towards integration of more parallel and distributed computing (PDC) material into our CS courses. Our theme is to focus on integration, as opposed to insertion, by using PDC as a medium for considering certain traditional course topics. Our targets include both upper-level courses like Algorithms and Programming Languages, ...

This chapter provides a framework for introducing parallel and distributed computing (PDC) concepts as they arise naturally in digital logic. It is directed primarily towards the instructor of a first digital logic course, although a motivated student may find it useful as well. Because a digital logic course lays the foundation for other courses such as computer organization and architecture, ...