This paper addresses the problem of sliding mode control (SMC) design for a class of uncertain switched descriptor systems with state delay and nonlinear input. An integral sliding function is designed and an adaptive sliding mode controller for the reaching motion is then synthesised such that the trajectories of the resulting closed-loop system can be driven onto a prescribed sliding surface and maintained there for all subsequent times. Moreover, based on a new Lyapunov-Krasovskii functional, a delaydependent sufficient condition is established such that the admissibility as well as the ∞ performance requirement of the sliding mode dynamics can be guaranteed in the presence of time delay, external disturbances, and nonlinear input which comprises dead-zones and/or sector nonlinearities. The major contributions of this paper of this approach include (i) the closed-loop system exhibiting strong robustness against nonlinear dynamics and (ii) the control scheme enjoying the chattering-free characteristic. Finally, two representative examples are given to illustrate the theoretical developments.

Home appliances using Brushless DC (BLDC) motors, such as Air Conditioners (ACs) and ceiling and pedestal fans, are gaining attention these days due to their low power consumption and low maintenance cost. This paper estimates and analyzes the leakage reactance of conventional and flux-switching permanent magnet BLDC motors. The leakage magnetic field of a high-power BLDC motor will be one of the main sources of interference. The magnetic field characteristics of the leakage field of a BLDC motor must be analyzed in order to acquire correct geomagnetic data. We also show the rotor's leakage magnetic field while the BLDC motor is static, the stator and rotor's leakage magnetic fields when the BLDC motor is functioning, and the near-field characteristic of the BLDC motor's leakage magnetic field.

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In this paper, we present a detailed action plan under continuous quality improvement (CQI) exercise of outcomes based education framework related to Mathematics concerns highlighted by the Electrical Engineering (EE) Department. Failing and low performed student learning outcomes (SOs) and course learning outcomes (COs) in range of core EE courses were observed to be linked with weak Mathematics basis of students. This feedback was achieved through an automated CQI system in EvalTools under Faculty Class Assessment Report (FCAR) tab, where each instructor is required to make reflections about failing as well as low performed SOs and COs. Feedback was reviewed comprehensively, and mathematical concepts which significantly affect the performance of students in the core EE courses were derived. Moreover, a high level of Mathematics pre-requisite covering required mathematical concepts is identified for the range of core EE courses. Consequently, well-defined tasks were assigned to continuously evaluate and monitor improvement in required Mathematics concepts to ensure SOs and COs achieved in core EE courses. Results are given to exhibit the effectiveness of continuous improvement management system (CIMS).