الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Integration of a communication network in the control system loops makes the
analysis and the design of the networked control systems (NCSs) more complex.
Hence, the controlling of systems over the network leads to some challenges or
problems include networked-induced delays and data packet losses which can
deteriorate the system performance and may destabilize the system.
In this thesis, a robust 𝐻∞ adaptive fuzzy controller (AFC), a robust adaptive
fuzzy predictive controller (AFPC) and a remote adaptive predictive fuzzy
proportional-derivative (RAPF-PD) controller have been presented to act as
solutions to some of these challenges in NCSs. Furthermore, the proposed
schemes improve the performance of the system in the presence of
networked-induced delays, some packet losses, external disturbances, and
structure uncertainty with guarantee the stability of the NCSs. The proposed
𝐻∞ AFC is applied for a class of nonlinear systems over network in the forward
channel. The fuzzy logic systems (FLSs) are used as universal approximators to
approximate the unknown nonlinear function of the system. The proposed 𝐻∞
AFC has a filtered tracking error to facilitate the handling of the networkedinduced
delay and also it is robust enough to cope the external disturbances and
the effect of the fuzzy approximation error which causes the modeling errors. The
AFPC based on adaptive smith predictor (ASP) and state predictor has been
developed for a class of nonlinear systems over network in the forward and
feedback communication channels. The ASP is employed to compensate the
time-varying delays effect to achieve the desired tracking performance. In
addition to the RAPF-PD controller based on ASP has been developed for
networked direct current motor position control via a real-time
communication between two personal computers using user datagram protocol
(UDP). Finally, simulated applications have demonstrated the feasibility,
effectiveness and robustness of the proposed schemes.