ABSTRACT:

Iterative learning control (ILC) is a kind of effective data-driven method that is developed based on online and/or offline input/output data. The main purpose of this paper is to supply a unified 2-D analysis approach for both continuous-time and discrete-time ILC systems with relative degree. It is shown that the 2-D Roesser system framework can be established for general ILC systems regardless of relative degree, under which convergence conditions can be provided to guarantee both asymptotic stability and monotonic convergence of the ILC processes. In particular, conditions for the monotonic convergence of ILC can be given in terms of linear matrix inequalities, and formulas for the updating law can be derived simultaneously. Simulation results are presented to illustrate the effectiveness of ILC determined through the 2-D design approach in dealing with the higher order relative degree problem of ILC systems, as well as the robustness of such ILC against uncertainties.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability ABSTRACT: Environmental, lighting, atmospheric, and temporal variables can all contribute to hyperspectral image spectral
PROJECT TITLE : Estimation, Control and Prediction of Voltage Level and Stability at Receiving Node ABSTRACT: Receiver voltage stability is addressed in this article. Voltage stability and level are intertwined concepts. Although
PROJECT TITLE :Data-Driven Control for Interlinked AC/DC Micro grids Via Model-Free Adaptive Control and Dual-Droop Control - 2017ABSTRACT:This paper investigates the coordinated power sharing problems of interlinked ac/dc microgrids.
PROJECT TITLE : Data-Driven Faulty Node Detection Scheme for Wireless Sensor Networks - 2017 ABSTRACT: During this paper, a faulty node detection theme with a hybrid algorithm using a Markov chain model that performs collective
PROJECT TITLE : Data-driven Answer Selection in Community QA Systems - 2017 ABSTRACT: Finding similar questions from historical archives has been applied to question answering, with well theoretical underpinnings and nice practical

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry