Print Email Facebook Twitter Adaptive quantized control for uncertain networked systems Title Adaptive quantized control for uncertain networked systems Author Moustakis, Nikolaos (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Delft Center for Systems and Control) Contributor Baldi, Simone (mentor) Yuan, Shuai (mentor) Degree granting institution Delft University of Technology Date 2017-06-22 Abstract Major advancements over the last few decades in communication networks gave rise to thenew paradigm of Networked Control Systems (NCSs). Within this paradigm, sensing andactuation signals are exchanged among various parts of a single system or among manysubsystems via communication networks. Although this enables one to perform more complextasks than traditional control paradigms, it comes at the cost of complicating the design phaseand the required analysis tools. One of the major challenges when considering a network isquantization effect which affects the performance of any control laws that were designedwithout taking the network effects into account.Even if the NCS paradigm is well established, few works are available on adaptive methods forNCSs: this MSc thesis establishes novel adaptive control approaches that attain asymptotictracking for linear systems and switched linear systems with parametric uncertainties, wheninput measurements are quantized due to the presence of a communication network closingthe control loop. In addition to enlarging the class of systems for which the adaptive quantizedcontrol can be solved, a hybrid control policy is applied to a novel dynamic quantizer withdynamic offset to address the tracking problem.The MSc thesis is split into two parts: in the first part we consider the model referenceadaptive control of a linear uncertain system, where a Lyapunov-based approach is used toderive the adaptive adjustments for the dynamic range, the dynamic offset and the controlparameters. In the second part, the approach is extended to switched uncertain linear systemswith dwell-time switching, where a new time-varying Lyapunov-like function is adopted: itis proven analytically that the new Lyapunov function we introduce, overcomes the needfor zooming-out at every time instant in order to compensate the possible increment of theLyapunov function.The proposed quantized adaptive control schemes are applied to two benchmark examples:an electro-hydraulic system and the piecewise linear model of the NASA GTM aircraft, respectively. Subject Adaptive controlquantizationnetworked control systems To reference this document use: http://resolver.tudelft.nl/uuid:747706ed-afb6-42cd-8fba-fbf8b6665323 Part of collection Student theses Document type master thesis Rights © 2017 Nikolaos Moustakis Files PDF MasterThesis.pdf 1.69 MB Close viewer /islandora/object/uuid:747706ed-afb6-42cd-8fba-fbf8b6665323/datastream/OBJ/view