Input constraints as well parametric uncertainties must be accounted for in the design of safe control systems. This paper presents an adaptive controller multiple-input-multiple-output (MIMO) plants with input magnitude and rate saturation presence uncertainties. A filter is introduced path to accommodate limits. An output feedback designed stabilize closed loop system even this filter. The ov...

Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL). Although existing semantic technologies can effectively reduce errors in interpretation, most these solutions adopt fixed bit length structure, along rigid transmission scheme, which is inefficient lacks scalability when faced different meanings signal-to-noise...

This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

Wireless Multimedia Sensor Networks (WMSNs) undergo congestion when a link (or a node) becomes overpopulated in terms of incoming packets. In WMSNs this happens especially in upstream nodes where all incoming packets meet and directed to the sink node. Congestion in networks, if not handled properly, might lead to congestion collapse which deteriorates the quality of service (QoS). Therefore, i...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

With the development of power switches and processor performance in recent years, control frequency inverters has been significantly improved. However, limited by technology price, sensor sampling large-scale industrial applications is much lower than inverter that can be realized. This mismatch limits improvement inverter. In this article, current voltage at non-sampling time are reconstructed...