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This paper presents a novel adaptive neural network (NN) control of single-input and single-output uncertain nonlinear discrete-time systems under event sampled NN inputs. In this control scheme, the feedback signals are transmitted, and the NN weights are tuned in an aperiodic manner at the event sampled instants. After reviewing the NN approximation property with event sampled inputs, an adaptive...
In Cyber Physical Systems (CPS), multiple real-time dynamic systems are connected to their corresponding controllers through a shared communication network in contrast with a dedicated line. For such CPS, the existing scheduling schemes for instance Centralized or Distributed Scheduling schemes are unsuitable since the behavior of real-time dynamic systems is ignored during the network protocol design...
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