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Brushless Direct Current Motor (BLDCM) has been widely utilized in many research areas since it has a simple structure, low-cost, high competence and great performance characteristics. This paper presents a new control technique based PID controller for speed control and the torque ripple reduction of BLDC motor. For improving the performance characteristics such as speed as well as torque control loop operation, an Ageist Spider Monkey Optimization (ASMO) algorithm based modified Landsman converter is proposed. ASMO algorithm is developed to achieve the optimal gain parameters of the PID controller by optimizing the speed and torque error of the BLDC drive. The merits of the proposed approach are robust performance, expanded degree of dependability and adaptability in order to solve the system error. The upgraded proposed framework is effectuated via MATLAB/Simulink. The outcomes of the proposed strategy are investigated and are compared individually to current strategies, such as, Whale Optimization Algorithm (WOA) and CFA (Cuttlefish Algorithm).

The paper is concerned with the controllability of impulsive functional integrodifferential equations with nonlocal conditions. Using the measure of noncompactness and Monch fixed point theorem, we establish some sufficient conditions for controllability and also our theorems extend some analogous results of (impulsive) control systems.

Nowadays, quality of service (QoS) is very popular in various research areas like distributed systems, multimedia real-time applications and networking. The requirements of these systems are to satisfy reliability, uptime, security constraints and throughput as well as application specific requirements. The real-time multimedia applications are commonly distributed over the network and meet various time constraints across networks without creating any intervention over control flows. In particular, video compressors make variable bit-rate streams that mismatch the constant-bit-rate channels typically provided by classical real-time protocols, severely reducing the efficiency of network utilization. Thus, it is necessary to enlarge the communication bandwidth to transfer the compressed multimedia streams using Flexible Time Triggered- Enhanced Switched Ethernet (FTT-ESE) protocol. FTT-ESE provides automation to calculate the compression level and change the bandwidth of the stream. This paper focuses on low-latency multimedia transmission over Ethernet with dynamic quality-of-service (QoS) management. This proposed framework deals with a dynamic QoS for multimedia transmission over Ethernet with FTT-ESE protocol. This paper also presents distinct QoS metrics based both on the image quality and network features. Some experiments with recorded and live video streams show the advantages of the proposed framework. To validate the solution we have designed and implemented a simulator based on the Matlab/Simulink, which is a tool to evaluate different network architecture using Simulink blocks.