In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identifica...
In this article dynamically positioned surface vessel model is considered. To achieve precise performance of the vessel with unknown parameters two control problem was solved. First one is online parametric identification. The estimation of unknown parameters of the surface vessel model is obtained by methods, which are gradient descent method, extended Kalman filter and dynamic regressor extension and mixing (DREM). Second problem is the design of the adaptive control based on the collected results from estimators. For this purposes inverse dynamics control is considered. The convergence of the system is shown in the modeling section. DREM estimation method showed best results.
This paper deals with consensus control for a multi-agent system, where agents are represented via state-space models. It is assumed that they are subjected to sinusoidal disturbances with unknown parameters in the in...
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This paper deals with consensus control for a multi-agent system, where agents are represented via state-space models. It is assumed that they are subjected to sinusoidal disturbances with unknown parameters in the input channel. The connections between the agents are represented by a cycle-free graph containing a spanning tree. An adaptive distributed control algorithm is proposed, guaranteeing asymptotic convergence of the agents’ states towards consensus, provided that the agent model satisfies the controllability condition. The control algorithm consists of a distributed observer, a distributed control law, and an adaptation law. The theoretical results are proven using LaSalle's invariance principle. Finally, a simulation example is presented to demonstrate the theoretical findings.
The paper focuses on developing a finite-time approach for sensors fault detection and isolation in MIMO systems. The proposed solution utilizes the synthesis of a bank of unknown input observers, tailored specificall...
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ISBN:
(数字)9798350349818
ISBN:
(纸本)9798350349825
The paper focuses on developing a finite-time approach for sensors fault detection and isolation in MIMO systems. The proposed solution utilizes the synthesis of a bank of unknown input observers, tailored specifically for each of sensor. A significant advantage of this solution over existing methods is its applicability to plants with any arbitrary relative degree. The paper introduces a modification that ensures finite-time convergence using Kreisselmeier's scheme combined with the dynamic regressor extension and mixing method. This modification guarantees that the convergence of observer estimates—and thus the diagnostic results—occurs within a user-specified timeframe. Additionally, the implementation of filters and threshold settings is discussed to prevent false alarms caused by measurement noise. The effectiveness of the developed approach is validated through computer simulations, confirming its robust performance.
This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing an...
This study deals with the addressing the issue of ensuring the operational condition of the technological system in terms of quality parameters for manufacturing products within the required timeframe by developing and implementing the method for forecasting the technical state of the cutting tool (CT). The paper highlights the importance of determining and forecasting the technical state of the CT for enterprises in the instrument-making and mechanical engineering industries. To address the research question, an operational control method for the CT, based on the multisensory data fusion obtained from technical diagnostic and controlsystems on a computer numerical control (CNC) machine, was proposed. The forecasting of the CT's technical state was performed using artificial intelligence (AI) methods. The proposed approach for obtaining input data for developing predictive models differs in their reliability due to minimizing erroneous results from individual technical diagnostic and controlsystems.
Noise suppression and understanding speech in a complex environment with the presence of numerous and dominant surrounding noise is very difficult for humans. To deal with this problem, microphone array, which exploit...
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作者:
Podbucki, KacperMarciniak, TomaszPoznan University of Technology
Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawla II 24 Poznań60-965 Poland
Measuring luminous intensity using electronic sensors requires their precise positioning. In the case of mobile measurement platforms, it is important to detect the light source and thus determine the correct directio...
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An effective hands-free speech interface with an appropriate digital signal processing is essential for teleconference systems and controlsystems. Beamforming technique, which use a microphone array (MA) is an ideal ...
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This paper presents RVWO, a system designed to provide robust localization and mapping for wheeled mobile robots in challenging scenarios. The proposed approach leverages a probabilistic framework that incorporates se...
This paper presents RVWO, a system designed to provide robust localization and mapping for wheeled mobile robots in challenging scenarios. The proposed approach leverages a probabilistic framework that incorporates semantic prior information about landmarks and visual re-projection error to create a landmark reliability model, which acts as an adaptive kernel for the visual residuals in optimization. Additionally, we fuse visual residuals with wheel odometry measurements, taking advantage of the planar motion assumption. The RVWO system is designed to be robust against wrong data association due to moving objects, poor visual texture, bad illumination, and wheel slippage. Evaluation results demonstrate that the proposed system shows competitive results in dynamic environments and outperforms existing approaches on both public benchmarks and our custom hardware setup. We also provide the code as an open-source contribution to the robotics community 2 2 https://***/be2rlab/rvwo.
The article deals with the control system of the Four Quadrant AC-DC Converter control System for the locomotive traction electric drive. A simulation model “transformer-four quadrant converter- direct current link-e...
The article deals with the control system of the Four Quadrant AC-DC Converter control System for the locomotive traction electric drive. A simulation model “transformer-four quadrant converter- direct current link-equivalent active load of locomotive traction electric drive” based on the parameters of the power subsystem has been developed. The synthesis of the control system of the active front end power stage was carried out. A control system with phase locked loop and DC link observer is proposed for described system. An algorithm for setting the reference signal of PWM with phase shift at the PWM period for simultaneous operation of several four quadrant AC-DC converters with common direct current link has been developed. A model study of the developed system and analysis of electromagnetic processes in the DC link, primary and secondary windings of the transformer were carried out. A bench prototype for debugging the control system has been developed.
A study of the plane-parallel surfaces finishing process of high-precision parts was carried out. The architecture of the IIoT environment based on the Winnum Platform for a double-acting flat-finishing machine has be...
A study of the plane-parallel surfaces finishing process of high-precision parts was carried out. The architecture of the IIoT environment based on the Winnum Platform for a double-acting flat-finishing machine has been developed. The requirements for surface roughness and the tolerance of flatness and parallelism are considered, and the reasons for their magnitude are determined. The analysis of studies on technological issues of manufacturing aircraft vibration sensors has been carried out. The types of technological finishing operation are considered, as well as the process of machine finishing of flat parallel surfaces for a double-acting flat-finishing machine is described. The kinematics of the finishing operation is considered. The need for the development of recommendations for determining the rational technological modes of finishing is revealed.
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