In energy intensive industrial systems, an evaporative cooling process may introduce operational flexibility. Such flexibility refers to a systems ability deviate from its scheduled consumption. Identifying the flexibility, and therefore, designing control that ensures efficient reliable operation presents great challenge due inherently complex dynamics of systems. Recently, machine learning models have attracted attention for identifying their model nonlinear behavior. This research based...

In this paper a model-based fault detection method for induction Motors is presented. A new filtering technique based on Unscented Kalman filters and Extended filters, utilized as state estimation tool in broken bars of motors. Using the merits these recent nonlinear tools UKF EKF, rotor resistance an motor estimated only by sensed stator currents voltages information. order to compare performances EKF UKF, both observers are designed same model run with covariance matrices under conditions....

Energy storage is ubiquitous in industrial processes and comes many forms such as material, chemical, electromechanical buffers. System identification of energy buffers demands proper estimation/prediction their physical quantities unknown parameters. Once these parameters are determined, the identified model can be employed to predict process dynamics, which finally assist build efficient control for processes. This paper proposes physics-informed neural networks-based grey-box modeling...

In this paper, a new turn function for skewed rotor bars based on winding Function approach is presented. This has been used simulating the machine behavior under healthy and broken conditions. Proposed method applied fault detection an advanced Park's vectors approach.

In this paper the problems of state estimation, tracking control and shape in a micro-cantilever beam with nonlinear electrostatic actuation are investigated. The system’s partial differential equation motion is converted into set ordinary equations by projection method. Observabillity system proven estimation designed using extended Kalman filter (EKF) algorithm. A to make specific point follow reference signal. effect mode selection include model on controller performance also Based...

Long-term prediction of precipitation in planning and managing water resources, especially arid semi-arid countries such as Iran, has a great importance. In this paper, method for predicting long-term using weather signals artificial neural networks is presented. For purpose, climatic data (large-scale signals) meteorological (local temperature) with 3 to 12 months lead-times are used inputs predict 3, 6, 9 periods 6 selected stations across Iran. A genetic algorithm (GA) self-organized...

The water crisis is one of the important issues in Middle East countries. Many lakes are ‎drying up and/or facing critical situations, exerting tremendous impacts on socio-economics ‎of their region. Lake Urmia, northwestern Iran, currently situations and ‎the brink total ‎shrinkage environmental disaster. This paper investigates roots crises ‎through trend ‎analysis hydrologic variables shows impact lake desiccation ‎altering ‎local climate. results indicate an increase temperature, a...

in Poznań, which is the host of this event.The IWDSP 2018 workshop second event series started 2016, focused on dynamic scheduling problems defined by parameters whose values are varying time.Problems kind appear many applications.The most common examples with time-, position-and resourcedependent job processing times.The aim to present recent research important domain theory.

The first challenge in robustness analysis of large-scale interconnected uncertain systems is to provide a model such standard-form that required within different frameworks. This becomes particularly important for systems, as tools can handle heavily rely on the special structure descriptions. We here propose an automated framework providing models are used Integral Quadratic Constraint (IQC) analysis. Specifically, this paper we put forth methodological way from block-diagram and nested...

In this paper, a new hybrid approach based on hierarchical gradient control and Shuffled Frog Leaping optimization algorithm (SFLA) is presented for optimal of large-scale systems. approach, the system decomposed into smaller subsystems then solved separately at first level. Afterward second level, coordinator coordinate to achieve overall solution. For this, discrete-time linear quadratic regulators (DLQR) with prescribed degree stability are used each subsystem in level which SFL employed...

Abstract This article deals with multi-rotating systems cooperation and their measurements exchange. We investigate the geographic north alignment in rotating such as antenna pedestals, positioners, etcEach system contains some angular position sensors that make based on local zero angles. These cannot be used by other systems. Therefore, of these respect to common angle is necessary, all are made this angle. In paper, we introduce a method for considering known fixed point. For purpose,...