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Many maintenance functions with varieties optimization models have been proposed to aid maintenance management. Limited planning activities have been implemented in industries. The two major factors are proper using of data and the gap between theory and practice have always become a reason. In this paper a computer maintenance system and the different maintenance optimization models are discussed...
This paper addresses the problem of idle speed control of hydrogen fueled internal combustion engine (H2ICE) using model predictive control (MPC) and sampled data control (SDC) theories. In the first step, results from SDC theory and a version of MPC are collectively employed to obtain a rigorously developed new generic control strategy. Here, a controller, based on a family of approximate discrete...
Fuel economy of parallel hybrid electric vehicles is affected by both the torque split ratio and the vehicle velocity. To optimally schedule both variables, information about the surrounding traffic is necessary, but may be made available through telemetry. Consequently, in this paper, a nonlinear model predictive control algorithm is proposed for the vehicle control system to maximise fuel economy...
In this paper, we propose a methodology for real-time characterization of the operational state of a subsystem, device or process in an ecosystem, with the goal of improving its sustainability. The objective is to re-describe the operational state, identified by a set of relevant sensor measurements and other parameters, in terms of known operational patterns. Each pattern is also associated with...
In the present era of rapid development and related complexities, highly motivated, competent and adaptable workforce is vital to an organizationpsilas success. Creating sustainable growth in an organization involves healthy dosage of intelligence, emotions, spirituality and meaning at the workplace that improves productivity with morale and vision. This view is gaining appreciation among management...
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