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Error-based adaptive optimal tracking control of nonlinear discrete-time systems
In this paper, for the output tracking problem of nonlinear discrete-time systems, a performance index is newly defined using the adaptive dynamic...
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Bounds on depth of decision trees derived from decision rule systems with discrete attributes
Systems of decision rules and decision trees are widely used as a means for knowledge representation, as classifiers, and as algorithms. They are...
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Discrete Event Simulation for Improving the Performance of Manufacturing Systems: A Case Study for Renewable Energy Sources Production
Nowadays manufacturers have highly sophisticated and reliable in-house logistics systems that support production lines, with a primary focus on...
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Predictive Maintenance Optimization Under Stochastic Production in Complex Systems
This paper focuses on predictive maintenance optimization under stochastic production in complex systems using prognostic Remaining Useful Life (RUL)...
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Industrial Production
A discrete event system (DES) is a dynamic system with discrete states and transitions, which are triggered by events. We apply a software model...
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Process Models in the Management of the Decision Support System Efficiency in Production Systems
AbstractThe paper proposes a process model approach to enhance the economic efficiency of production systems driven by the transformation of their IT...
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Battery Production Systems: State of the Art and Future Developments
This paper discusses the state of the art in battery production research, focusing on high-importance topics to address industrial needs and...
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Data-Driven Production Logistics: Future Scenario in Two Swedish Companies Based on Discrete Event Simulation
Recent technological advances in capturing real-time and large amounts of data provide an opportunity for production logistics systems to enhance...
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Fault estimation and fault-tolerant control for linear discrete time-varying stochastic systems
This paper presents a scheme for simultaneous fault estimation and fault-tolerant control of linear discrete time-varying stochastic systems. An...
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Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering
Purpose.Agile Production Systems Engineering (PSE) is characterised by parallel and iterative engineering of several disciplines. This multi-view...
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Recent advancement of intelligent-systems in edible birds nest: A review from production to processing
Edible Bird Nest (EBN) constitutes a thriving industry in several Southeast Asian nations where its value chain encompasses several critical...
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Simcan2Cloud: a discrete-event-based simulator for modelling and simulating cloud computing infrastructures
Cloud computing is an evolving paradigm whose adoption has been increasing over the last few years. This fact has led to the growth of the cloud...
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Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems
Approaches in AI planning for Cyber-Physical Production Systems (CPPS) are mainly symbolic and depend on comprehensive formalizations of system...
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Production Control
The primary responsibility of production control is to manufacture products. In manufacturing, materials and resource capacity are consumed.
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Secure transmission cryptographic approach for remote-sensing image based on discrete memristor-coupled Rulkov neuron map and TIMG
Remote-sensing imagery plays an important role in areas such as geographic information systems (GIS), environmental monitoring and resource...
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Network accelerator for parallel discrete event simulations
The simulation time of parallel and distributed discrete event simulation is the heart rate for as-fast-as execution schemes. Agreeing upon a global...
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The EE Systems Theory
The EE systems theory is about the behaviour, the construction and the operation of systems. Systems are classified into three regions: organised...
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Coupled hydro-mechanical two-phase flow model in fractured porous medium with the combined finite-discrete element method
This paper presents a time-explicit, fully coupled, hydro-mechanical model to simulate the two-phase flow process in fractured porous media,...
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Discrete Salp Swarm Algorithm for Euclidean Travelling Salesman Problem
The Salp Swarm Algorithm (SSA) is one of the recently proposed swarm intelligence-based algorithms, which finds its motivation in the swarming...
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Optimizing a Production Line
The simple production line considered in this chapter is shown in Fig. 20.1. This problem has been adapted from an example in [1]. This situation is...