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Intelligent Industrial Systems OnlineFirst articles

25.04.2017 | Original Paper

TFS: Towards Fuzzy Rule-Based Feedback Scheduling in Networked Control Systems

With the pervasive applications of networked control systems (NCSs), it is increasingly important to design the network scheduling algorithm to ensure good overall system performance. Traditional static scheduling algorithms may work, but they …

19.04.2017 | Original Paper

Highway Traffic Estimation using Nonlinear Kalman Filtering

The paper proves that the PDE dynamic model of the highway traffic is a differentially flat one and by applying spatial discretization it shows that the model’s transformation into an equivalent linear canonical state-space form is possible. For …

18.11.2016 | Original Paper

Flatness-Based Control in Successive Loops for Business Cycles of Finance Agents

Flatness-based control implemented in successive loops is proposed for modifying the business cycles of interacting finance agents. The dynamics of the business cycle of each individual agent is described as a nonlinear oscillator, while …

18.11.2016 | Original Paper

A Nonlinear Optimal Control Approach of Insulin Infusion for Blood Glucose Levels Regulation

The article proposes a nonlinear optimal control method for the administered infusion of insulin, aiming at regulation of patients’ blood glucose levels. The dynamic model of blood glucose concentration which receives as control input the …

01.10.2016 | Original Paper

An H-infinity Approach to Optimal Control of Oxygen and Carbon Dioxide Contents in Blood

Nonlinear H-infinity control is proposed for the regulation of the levels of oxygen and carbon dioxide in the blood of patients undergoing heart surgery and extracorporeal blood circulation. The levels of blood gases are administered through a …

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The focus of this journal is on the design of intelligent industrial systems through the synergism of several research areas, such as control, estimation and sensor fusion, fault diagnosis, optimization and machine intelligence. This journal publishes systematic methods for the intelligent modeling and control of complex industrial systems, such as:

Industrial robots
Mobile robotics and autonomous vehicles
Mechatronics and electromechanical systems
Intelligent transportation systems
Networked-control for industrial systems
Intelligent electric power transmission and distribution (smart grids, microgrids and active networks)
Intelligent energy systems and smart devices for energy management
Electric motors, actuators and combustion engines
Electric power generation systems
Power electronics and power conversion systems
Distributed parameter systems for industrial applications
Communication systems for industrial applications
Industrial technology for micro and nano systems
Industrial technology for biosystems
Computational intelligence in complex systems
Manufacturing and production management
Operations management
Production planning & control
Supply chain management

It also publishes results on control, filtering and optimization methods that will be generic and applicable to wide classes of industrial systems. This journal provides analysis for several critical engineering systems, and is a useful reference not only for the control and robotics or the electric power systems community, but also for researchers and engineers in the fields of signal processing, computational intelligence and mechatronics.

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