Jozsef Kuti

Jozsef Kuti
Óbudai Egyetem · Antal Bejczy Center for Intelligent Robotics

PhD

About

26
Publications
1,720
Reads
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181
Citations
Citations since 2016
18 Research Items
166 Citations
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
Additional affiliations
May 2013 - August 2016
Hungarian Academy of Sciences - Institute for Computer Science and Control
Position
  • Young research fellow
March 2013 - December 2015
Hungarian Academy of Sciences
Position
  • PhD Student
Education
September 2007 - June 2013
Budapest University of Technology and Economics
Field of study
  • Mechatronics Engineering

Publications

Publications (26)
Article
Vibration actuators are widely used in handheld devices to provide vibrotactile feedback or silent notification to the users. In most cases, miniature DC motors with eccentric rotors or the so-called coin-type shaftless vibration motors are utilized. The common disadvantage of the single rotor designs is that the frequency and the intensity of the...
Conference Paper
Full-text available
To a large degree, systems and control applications of TP Model Transformation rely on convex hull manipulation of polytopic LPV/qLPV system models. In this respect, the creation of tight convex hulls is an especially challenging problem, as it requires complex nonlinear optimisation. By defining theMinimal Volume Simplex (MVS) type hull, the paper...
Article
Full-text available
Advanced robotics and autonomous vehicles rely on filtering and sensor fusion techniques to a large extent. These mobile applications need to handle the computations onboard at high rates while the computing capacities are limited. Therefore, any improvement that lowers the CPU time of the filtering leads to more accurate control or longer battery...
Article
Full-text available
The ever-increasing complexity of robot applications induces the need for methods to approach problems with no (viable) analytical solution. Deep learning (DL) provides a set of tools to address this kind of problems. This survey presents a categorization of the major challenges in robotics that leverage DL technologies and introduces representativ...
Article
Full-text available
This paper introduces the novel concept of Affine Tensor Product (TP) Model and the corresponding model transformation algorithm. Affine TP Model is a unique representation of Linear Parameter Varying systems with advantageous properties that makes it very effective in convex optimization-based controller synthesis. The proposed model form describe...
Article
This study investigates the computer-regulated propofol administration in anesthesia during medical interventions considering output feedback and robust PID control. The paper applies the Affine Tensor Product Model Transformation to derive the appropriate polytopic quasi-LPV representation of the closed-loop dynamics. This model form enables the u...
Article
Full-text available
The paper shows that the separated structure of parameter dependencies within the Polytopic Tensor-Product (TP) model can be exploited during the controller design by applying controller candidates that depend only on certain parameter sets. This approach combines the polytopic uncertainty and Parallel Distributed Compensation (PDC) concepts in suc...
Article
Full-text available
The paper revisits and renew the concept of Polytopic Tensor Product (TP) Model based control analysis and synthesis by generalizing the use of TP-structured variables in the definite conditions derived from the applied control criteria. For TP forms that can depend on multivariate parameter sets (optionally with two times or larger multiplicities)...
Article
The vertices of a polytopic LPV/qLPV model determine the feasibility of any linear matrix inequality (LMI) based control design as well as the achievable control performance, since the polytope typically includes not only the actual system dynamics. This paper proposes a powerful method to determine suitable polytopic qLPV Tensor-Product model form...
Conference Paper
Achieving reliable force control is one of the main design goals of robotic teleoperation. It is essential to grant safe and stable performance of these systems, regarding HMI control, even under major disturbing conditions such as time delay or model parameter uncertainties. This paper discusses the systematic derivation of polytopic qLPV model fr...
Conference Paper
Full-text available
In polytopic model based controller synthesis, the vertices of the model determine the achievable performance. This paper demonstrates a complete and tractable design process exposing the polytopic qLPV model generation and a polytopeshaping technique through the example of the TORA (Translational Oscillator with a Rotational Actuator) system. The...
Conference Paper
Under the conceptual framework of Cognitive Infocommunications, a recently published definition of Cognitive Control draws twofold sense characterizing the goals of this branch of systems and control science. On the one hand, Cognitive Control aims to apply the results of control theory to regulate natural or artificial cognitive systems. While on...
Chapter
Impedance/admittance control algorithms are considered as key technologies in human–robot interaction and other fields of advanced robotics where complex physical interaction plays role. In this chapter, we utilize a Tensor Product (TP) Model Transformation based method to derive the delay and stiffness dependent polytopic LPV representation of the...
Conference Paper
Full-text available
A recently published definition of Cognitive Control draws twofold sense to characterize the main point of this new scientific field. On the one hand, Cognitive Control aims to apply the results of control theory to regulate natural or artificial cognitive systems. On the other hand it points toward the modeling of cognitive processes of different...

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