Jozsef KutiContinental AG
Jozsef Kuti
PhD
About
31
Publications
2,674
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304
Citations
Introduction
Additional affiliations
May 2013 - August 2016
Hungarian Academy of Sciences - Institute for Computer Science and Control
Position
- Young research fellow
March 2013 - December 2015
Education
September 2007 - June 2013
Budapest University of Technology and Economics
Field of study
- Mechatronics Engineering
Publications
Publications (31)
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...
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...
This paper presents a novel method for evaluating the accuracy of orientation sensors commonly used in practical applications, utilizing measurements obtained from a commercial robotic manipulator as the reference instrumentation. The core concept of the method involves determining the rotational transformations between the robot's base frame and t...
Although it is singular for parallel joint axes, forward kinematics of manipulators with serial kinematic structures are mostly described with Denavit-Hartenberg parameters. For this reason, Hayati et al. proposed a similarly minimal parameter set, which is well usable for parallel axes but cannot be used for perpendicular ones. This paper presents...
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...
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...
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...
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...
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...
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)...
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...
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...
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...
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...
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...
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...