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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Ali Hadi Abdulwahid Girija Rani Karetla KVB. Ganesh A Suresh Kumar K. Radha K. Shivakumar Control and Automation Engineering Department Engineering Technical College Southern Technical University Basra Iraq School of Computer Data and Mathematical Sciences Western Sydney University Australia KL Business School Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India Department of CSE Graphic Era Deemed to be University Dept. of IT St. Martin's Engineering College Secunderabad Telangana India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India

An electroencephalogram that was captured with electrodes placed can easily get contaminated with a variety of artifacts. Here is a comparative of various electroencephalogram (EEG) de-noising techniques. Three alternative techniques are used to eliminate five different kinds of noise, and also the outcomes are evaluated. These three methods are just the Least Mean Square (LMS) technique, the Connected Neural Network, and also the Recursive Least - square (RLS) adaptable algorithm (FCNN). Period charts of the actual EEG signal, the noise EEG signal, and thus the predicted EEG signal are used to display the results. RRMSE and signal- to-noise ratio were utilized to compare the effectiveness of the 3 de-noising strategies in this study. Investigating the model parameters in this case, we discover the FCNN forecasts a better outcome compared to the other two methods.

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Improved chicken swarm optimization

Improved chicken swarm optimization

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Dinghui Wu Fei Kong Wenzhong Gao Yanxia Shen Zhicheng Ji Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi Jiangsu China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu China Dept. of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (纸本)9781479987313

Considering the problem that the original chicken swarm optimization algorithm is easy to fall into local optimum because of premature convergence for high-dimensional complex problems, an improved chicken swarm optimization was proposed. In this algorithm, the part of chicks learning from the rooster in their subgroup is added to chick's position update equation, and the inertia weight and learning factor are also introduced. Then eight benchmark functions are used to test the proposed algorithm and the comparison with particle swarm optimization, bat algorithm, and original chicken swarm optimization are also performed. The simulated experimental results showed that the proposed algorithm is able to avoid premature convergence and therefore can escape from local optimum. Especially, the proposed method outperforms other evolutionary algorithms in finding the global optimum for high-dimensional problems.

关键词： Convergence Algorithm design and analysis Particle swarm optimization Benchmark testing Optimization Accuracy Standards

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Toward Combining Intra-Real Time Dispatch (RTD) and AGC for On-Line Power Balancing

Toward Combining Intra-Real Time Dispatch (RTD) and AGC for ...

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IEEE Power and Energy Society General Meeting

作者： Marija D. Ilic Xiaoqi Yin Qixing Liu Yang Weng Dept. of Elec. & Comp. Eng. Carnegie Mellon University Pittsburgh Pennsylvania 15213 Dept. of Elec. & Comp. Eng. Carnegie Mellon University Pittsburgh Pennsylvania China Southern Power Grid Power Dispatching and Control Center Guangzhou Guangdong P.R. China Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh Pennsylvania

In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero mean imbalances;and, (2) Adaptive controller for non-zero mean intra-RTD imbalances using two-stage robust optimization. The result of applying these methods sequentially at the beginning of each RTD interval is the least-cost robust adaptation of RTD schedules in anticipation of the most likely non-zero mean imbalances. We illustrate how this proposed predictive adaptive intra-RTD dispatch can be implemented for a typical hour. Second, only hard-to-predict near-zero-mean imbalances are compensated using Automatic Generation control (AGC). The basic conclusion is that a combination of predictive adaptive intra-RTD and recently proposed Enhanced-AGC (E-AGC) should be used for the least cost on-line balancing of non-zero mean and zero mean imbalances, respectively.

关键词： Generators Schedules Power generation Rotors Silicon Power measurement Uncertainty

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Investigating the Neural Basis of Cooperative Joint Action An EEG Hyperscanning Study

Investigating the Neural Basis of Cooperative Joint Action A...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： L. Astolfi J. Toppi P. Vogel D. Mattia F. Babiloni A. Ciaramidaro M. Siniatchkin Department of Computer Control and Management Engineering Univ. of Rome "Sapienza" Institute of Neurophysiology Neuroscience Center Goethe-University Frankfurt IRCCS Fondazione Santa Lucia Dept. of Physiology and Pharmacology of the University of Rome "Sapienza" Department of Child and Adolescent Psychiatry Psychosomatics and Psychotherapy Johann Wolfgang Goethe University

ISBN: (纸本)9781424479276

The aim of the present study is to investigate the neurophysiological basis of the cognitive functions underlying the execution of joint actions, by means of the recent technique called hyperscanning. Neuroelectrical hyperscanning is based on the simultaneous recording of brain activity from multiple subjects and includes the analysis of the functional relation between the brain activity of all the interacting individuals. We recorded simultaneous high density electroencephalography (hdEEG) from 16 pairs of subjects involved in a computerized joint action paradigm, with controlled levels of cooperation. Results of cortical connectivity analysis returned significant differences, in terms of inter-brain functional causal links, between the condition of cooperative joint action and a condition in which the subjects were told they were interacting with a PC, while actually interacting with another human subject. Such differences, described by selected brain connectivity indices, point toward an integration between the two subjects' brain activity in the cooperative condition, with respect to control conditions.

关键词： Joints Brain Electroencephalography Games computers Analysis of variance Monitoring

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Multi-innovation observer based fault detection for pitch system of wind turbines

Multi-innovation observer based fault detection for pitch sy...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Dinghui Wu Yanjie Zhai Wenzhong Gao Yanxia Shen Zhicheng Ji Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi Jiangsu China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu China Dept. of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (纸本)9781479987313

Considering the pitch sensor fault of pitch systems in wind turbines, a multi-innovation observer based fault detection method is proposed. The pitch system can be modeled as a second order differential equation. And then the equation is transformed into a state space model. According to the state space model, a multi-innovation observer is designed to estimate the system state. The pitch sensor fault can be detected through the residual which is generated by comparing the state estimation with the output of an actual system. The simulation results show that the proposed approach is able to detect the pitch sensor fault effectively.

关键词： Wind turbines Observers Fault detection Technological innovation Fault diagnosis Shafts

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Design of Dynamic Compensators for Generalised Interconnected Systems with Similar Structure

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IFAC Proceedings Volumes 2001年第3期34卷 61-64页

作者： Haibin Shil Yuanwei Jingl G.M. Dimirovski Siying Zhang M.J. Stankovski Institute of Control Science School of Information Science & Engineering Northeastern University Po.B.321 Shenyang Liaoning 110006 P R. of China Dept. of Computer Engg. Faculty of Engineering DOG US University Acibadem 81010 Istanbul-Kadikoj Rep.of Turkey Inst. of A SE Faculty of EE ss Cyril&Methodius University Skopje R of macedonia

A class of generalized interconnected systems, possessing similar linear structure and non linear unmatched interconnections, is studied in this paper. Hence a new topic of similarity systems research is presented. Dynamic compensators are designed so that the closed-loop systems of the original systems and the compensators are asymptotically stable and have no impulse effect. Compensators also possess similar structures and are realized easily, so that a destroyed compensator is easily reproduced.

关键词： Compensation dynamic output feedback generalized interconnected systems non linear interconnections similar structure

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Piecewise Polynomial Policy Iterations for Synthesis of Optimal control Laws in Input-Saturated Systems

Piecewise Polynomial Policy Iterations for Synthesis of Opti...

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American control Conference

作者： Simone Baldi Giorgio Valmorbida Antonis Papachristodoulou Elias B. Kosmatopoulos Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Department of Engineering Science Control Group University of Oxford Parks Road Oxford OX1 3PJ U.K. Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece and Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781479917730

This work proposes a policy iteration procedure for the synthesis of optimal and globally stabilizing control policies for Linear Time Invariant (LTI) Asymptotically Null-controllable with Bounded Inputs (ANCBI) systems. This class includes systems with eigenvalues on the imaginary axis (possibly repeated) but no pole with positive real part. The proposed policy iteration relies on a class of piecewise quadratic Lyapunov functions which is non-differentiable, but continuous, and polynomial in both the state and the deadzone functions of the input signals. The second step of the policy iteration is based on a piecewise control policy improvement. An important aspect of the proposed piecewise policy is that at each step of the iteration the computed policy is globally stabilizing and the existence of an improving value function is guaranteed as well. The solution to the inequalities which is required to hold at each step of the policy iteration, is obtained by solving Sum-of-Squares Programs (SOSP) that can be efficiently implemented with semidefinite programming (SDP) solvers.

关键词： iterative methods Policies Piecewise control law synthesis Polynomial control strategy Liapunov function Bounded

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Event-based Patient Motion Detection and Compensation in Image-Guided Robotics

Event-based Patient Motion Detection and Compensation in Ima...

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IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics

作者： Tamas Haidegger Peter Kazanzides Balazs Benyo Zoltan Benyo Dept. of Control Engineering and Information Technology Budapest University of Technology and Economics Johns Hopkins University Center for Computer-Integrated Surgical Systems and Technology

ISBN: (纸本)9781457711992

We report a generalized approach to deal with patient motion in robotic image-guided surgery, along with in silico and dry laboratory tests on a neurosurgical robot setup. External patient motion events (excluding physiological motion) can occur during surgery despite body fixation, and can endanger the outcome of the surgery, as they invalidate the registration between the robot and the patient. The core of the compensation algorithm is to rely on the combination of the robot joint encoders, tracking data and the internal coordinate frame of the intra-operative navigation system to ensure accurate execution of the pre-operative plan. The method allows for the continuous correction of the registration through identifying the actual surgical event in the operating room. From the control point of view, the intra-operative events have been categorized as robot motion, camera motion, patient motion and the combinations of these. The registration update is based on the use of the most reliable reference frame and extending-window averaging to compensate for the occurred patient motion. Simulation results were performed on a generic image-guided robot model, and on a skull base surgery robot. Patient motion events were detected in 80% of the cases, which already leads to a gradual improvement of the procedure. The proposed structure allows for a more generic, probability-based handling of the operating room events that may lead to safer and more accurate surgical treatment in the future.

关键词： Patient Motion Artifact compensated control point Registration Robot Operating rooms Surgery REFERENCE FRAMES

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Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields

arXiv

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arXiv 2023年

作者： van der Ploeg, Chris Nyberg, Truls Sánchez, José Manuel Gaspar Silvas, Emilia van de Wouw, Nathan Netherlands Organisation for Applied Scientific Research Integrated Vehicle Safety Group Helmond5700 AT Netherlands Eindhoven University of Technology Dynamics and Control Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands Eindhoven University of Technology Control Systems Technology Group Mechanical Engineering Dept. P.O. Box 513 Eindhoven5600 MB Netherlands KTH Royal Institute of Technology Division of Robotics Perception and Learning School of Electrical Engineering and Computer Science Stockholm100 44 Sweden Scania CV AB Södertälje151 87 Sweden

As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS) primarily focus on basic tasks, leaving unexpected scenarios for human intervention, which can be error-prone. Motion planning approaches for higher levels of automation in the state-of-the-art are primarily oriented toward the use of risk- or anti-collision constraints, using over-approximates of the shapes and sizes of other road users to prevent collisions. These methods however suffer from conservative behavior and the risk of infeasibility in high-risk initial conditions. In contrast, our work introduces a novel multi-objective trajectory generation approach. We propose an innovative method for constructing risk fields that accommodates diverse entity shapes and sizes, which allows us to also account for the presence of potentially occluded objects. This methodology is integrated into an occlusion-aware trajectory generator, enabling dynamic and safe maneuvering through intricate environments while anticipating (potentially hidden) road users and traveling along the infrastructure toward a specific goal. Through theoretical underpinnings and simulations, we validate the effectiveness of our approach. This paper bridges crucial gaps in motion planning for automated vehicles, offering a pathway toward safer and more adaptable autonomous navigation in complex urban contexts. Copyright © 2023, The Authors. All rights reserved.

关键词： Motion planning

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Bas-relief ambiguity

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International Journal of computer Vision 1999年第1期35卷 33-44页

作者： Belhumeur, Peter N. Kriegman, David J. Yuille, Alan L. Center for Comp. Vision and Control Dept. of Electrical Engineering Yale University New Haven CT 06520 United States Beckman Institute Department of Computer Science Univ. of Illinois Urbana-Champaign Urbana IL 61801 United States Smith-Kettlewell Eye Res. Institute San Francisco CA 94115 United States

When an unknown object with Lambertian reflectance is viewed orthographically, there is an implicit ambiguity in determining its 3-d structure: we show that the object's visible surface f(x, y) is indistinguishable from a `generalized bas-relief' transformation of the object's geometry, f¯(x, y) = λf(x, y)+μx+vy, and a corresponding transformation on the object's albedo. For each image of the object illuminated by an arbitrary number of distant light sources, there exists an identical image of the transformed object illuminated by similarly transformed light sources. This result holds both for the illuminated regions of the object as well as those in cast and attached shadows. Furthermore, neither small motion of the object, nor of the viewer will resolve the ambiguity in determining the flattening (or scaling) λ of the object's surface. Implications of this ambiguity on structure recovery and shape representation are discussed.

关键词： Object recognition

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