A5081466000- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Design
- Robotic Path Planning Algorithms
- Fuzzy Logic and Control Systems
- Network Time Synchronization Technologies
- Fault Detection and Control Systems
- Multilevel Inverters and Converters
- Dynamics and Control of Mechanical Systems
- Control and Dynamics of Mobile Robots
- Iterative Learning Control Systems
- Diabetes Management and Research
- Extremum Seeking Control Systems
- Blood Pressure and Hypertension Studies
- Sensorless Control of Electric Motors
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- Adversarial Robustness in Machine Learning
- Guidance and Control Systems
- AI in cancer detection
- Mathematical Biology Tumor Growth
- Explainable Artificial Intelligence (XAI)
- Cancer Genomics and Diagnostics
- Robotics and Sensor-Based Localization
Transylvania University of Brașov
2008-2022
Abstract Background Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making future. However, their implementation health care settings remains limited, mostly due lack of robust validation procedures. There is need develop reliable assessment frameworks for AI. We present here an approach assessing predicting treatment response triple-negative...
The industrial environment has gone through the fourth revolution, also called “Industry 4.0”, where main aspect is digitalization. Each device employed in an process connected to a network Internet of things (IIOT). With IIOT manufacturers being capable tracking every device, it become easier prevent or quickly solve failures. Specifically, large amount available data allowed use artificial intelligence (AI) algorithms improve applications many ways (e.g., failure detection, optimization,...
A new approach to the blood glucose concentration control problem is investigated in this paper. The solution implies use of fractional-order calculus both for plant's model and controller. insulin-glucose system derived from well-known minimal model, by replacing integer derivatives with fractional ones. Next, used extend conventional reference adaptive control, namely using a adjustment rule controller's parameters. design procedure detailed. Simulations proposed show performance reducing...
The distributed control systems with communication networks are used in many industrial applications. These often referred as "Networked Control Systems" (NCS). network's induced delays inevitable, however, when data is transmitted between devices. Network degrade the NCS performance and destabilize system. goal of paper to analyze network influence over system stability by using two DC electrical drives applications, one having a PI controller, second an FPI (fractional PI) controller....
In this paper, two adaptive control methods introduced in literature (e.g. the gradient and Lyapunov stability methods) are applied on several theoretical examples considering second order plant for different time varying parameters. Further on, new laws proposed. The first one is based MIT rule combination to allow usage of same value all adaptation gains. one, developed perturbation rejection by adding an artificial at plant's input. Using Matlab / Simulink, preferred approach each use...
This paper is aimed at the study of conventional 14 V automotive electrical supply systems as a basis for development novel 42 system capable to provide maximum power both vehicle's battery and on-board consumers. By analyzing operating characteristics Lundell alternator with three-phase full-bridge diode rectifier, conditions output various driving speeds are determined. Whereas in alternator-rectifier on wide speed range obtained working voltages below V, proposes modification by...
This paper describes an application of the robust control theory applied to a Permanent Magnet Synchronous Machine (PMSM). To keep simple design, authors considered only parametric disturbances process coefficients. In this particular case, inertia is uncertainty parameter. avoid problem, usage H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> proposed. As first step, all equations motor must be defined and presented in state space...
In this paper the control problem of nonlinear/ uncertain dynamic systems via a variable structure (VSS) approach is discussed. Observation states such also considered. The extension to an observer-controller design illustrated using computer simulation thetas-r manipulator position control.
A nonlinear model consisting of a system coupled ordinary differential equations (ODE), describing biological process linked with cancer development, is linearized using Taylor series and tested against different magnitudes input perturbations, in order to investigate the extent which linearization accurate. The canonical wingless/integrated (WNT) signaling pathway considered. procedure described, special considerations for validity are analyzed. analytical properties systems studied,...
In this paper, an active vision system is developed which based on image strategy. The control structure uses the optical flow algorithm for motion detection of object in a visual scene. Because very sensitive to changes illumination or quality video, it was necessary use median filtering and erosion dilatation morphological operations decrease erroneous blobs residing individual frames. Since coordinates are subjected noise, Kalman technique adopted robust estimation. A fuzzy controller...
Two self-learning based methodologies for building the rule-base of a fuzzy logic controller (FLC) are presented in comparative study. These aim to bring intelligent characteristics design stage by simulating designer's actions as learning and adapting. An iterative algorithm, also called self-learning, is used gather useful trustful control data, which can be subsequently extract rules. Both methods focus on better use data obtained algorithm. The have been proven reliable different cases -...
In this paper the control problem of nonlinear/uncertain dynamic systems via a variable structure (VSS) approach is discussed. Observation states such considered. The extension to an observer-controller design illustrated using computer simulation thetas-r manipulator position control.
Abstract The main idea of the current paper consists in introducing fractional order calculus a control system. To system, an adaptive technique with reference model is used. models for plant and are obtained. achieve performances imposed by model, law proposed, which combination two methods (MIT Lyapunov stability). original contribution this use combined MIT stability method showing dynamic behavior Several simulations used to emphasize effectiveness benefits proposed method.