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2010 49th IEEE Conference on Decision and control

作者： Christopher G. Mayhew Andrew R. Teel Center for Control Engineering and Computation Electrical and Computer Engineering Department University of California Santa Barbara CA 93106-9560

ISBN: (纸本)9781424477456

We propose a hybrid controller ensuring robust global asymptotic stability of a desired spherical orientation in a kinematic setting-a task that is impossible by continuous or memoryless discontinuous state-feedback due to topological obstructions. The hybrid control structure relies on hysteretically switching between locally stabilizing control laws that are generated by a "synergistic" family of potential functions. We propose a parametrized diffeomorphism as a means of generating such a synergistic family. This construction is accomplished by composing an existing potential function with the diffeomorphism invoked with different parameters, thus generating new potential functions that have different critical behavior. A salient feature of the construction is that it can produce a synergistic family of potential functions from a single potential function.

关键词： potential function hybrid control Diffeomorphism family Sphericity control Architecture

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A simple neuro automatic voltage regulator for power systems 3

A simple neuro automatic voltage regulator for power systems

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3rd IFAC Workshop on Automatic Systems for Building the Infrastructure in Developing Countries, DECOM-TT 2003

作者： Jalili-Kharaajoo, Mahdi Afshar, Ahmad Moezzi-Madani, Kaveh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran P.O. Box 14395/515 Tehran Iran Electrical Engineering Department Amirkabir University of Technology Tehran Iran

In this paper, a simple neuro-controller for power systems is presented. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s-domain, its parameters can be obtained analytically to ensure system stability. Results of simulation studies on a nonlinear third order generator model with the proposed neuro-controller using calculated parameters are given. Results of simulation studies demonstrate tbe effectiveness of this simple neuro-controller. Copyright © 2003 IFAC.

关键词： Voltage regulators

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Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient

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Journal of Medical engineering and Technology 2016年第3期40卷 87-98页

作者： Moridani, Mohammad Karimi Setarehdan, Seyed Kamaledin Motie Nasrabadi, Ali Hajinasrollah, Esmaeil Department of Biomedical Engineering Science and Research Branch Islamic Azad University Tehran Iran Control and Intelligent Processing Centre of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Departments of Biomedical Engineering Shahed University Tehran Iran Loghman Medical Center Shahid Beheshti University of Medical Sciences Tehran Iran

Intensive care unit (ICU) patients are at risk of in-ICU morbidities and mortality, making specific systems for identifying at-risk patients a necessity for improving clinical care. This study presents a new method for predicting in-hospital mortality using heart rate variability (HRV) collected from the times of a patients ICU stay. In this paper, a HRV time series processing based method is proposed for mortality prediction of ICU cardiovascular patients. HRV signals were obtained measuring R-R time intervals. A novel method, named return map, is then developed that reveals useful information from the HRV time series. This study also proposed several features that can be extracted from the return map, including the angle between two vectors, the area of triangles formed by successive points, shortest distance to 45° line and their various combinations. Finally, a thresholding technique is proposed to extract the risk period and to predict mortality. The data used to evaluate the proposed algorithm obtained from 80 cardiovascular ICU patients, from the first 48 h of the first ICU stay of 40 males and 40 females. This study showed that the angle feature has on average a sensitivity of 87.5% (with 12 false alarms), the area feature has on average a sensitivity of 89.58% (with 10 false alarms), the shortest distance feature has on average a sensitivity of 85.42% (with 14 false alarms) and, finally, the combined feature has on average a sensitivity of 92.71% (with seven false alarms). The results showed that the last half an hour before the patients death is very informative for diagnosing the patients condition and to save his/her life. These results confirm that it is possible to predict mortality based on the features introduced in this paper, relying on the variations of the HRV dynamic characteristics. © 2016 Taylor & Francis.

关键词： Forecasting

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Hamiltonian quantum generative adversarial networks

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Physical Review Research 2024年第3期6卷 033019-033019页

作者： Leeseok Kim Seth Lloyd Milad Marvian Department of Electrical & Computer Engineering and Center for Quantum Information and Control Department of Mechanical Engineering

We propose Hamiltonian quantum generative adversarial networks (HQuGANs) to learn to generate unknown input quantum states using two competing quantum optimal controls. The game-theoretic framework of the algorithm is inspired by the success of classical generative adversarial networks in learning high-dimensional distributions. The quantum optimal control approach not only makes the algorithm naturally adaptable to the experimental constraints of near-term hardware, but also offers a more natural characterization of overparameterization compared to the circuit model. We numerically demonstrate the capabilities of the proposed framework to learn various highly entangled many-body quantum states, using simple two-body Hamiltonians and under experimentally relevant constraints such as low-bandwidth controls. We analyze the computational cost of implementing HQuGANs on quantum computers and show how the framework can be extended to learn quantum dynamics. Furthermore, we introduce a cost function that circumvents the problem of mode collapse that prevents convergence of HQuGANs and demonstrate how to accelerate the convergence of them when generating a pure state.

关键词： Machine learning Quantum algorithms Quantum computation Quantum control

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When Smoothness is Not Enough: Toward Exact Quantification and Optimization of the Price-of-Anarchy

When Smoothness is Not Enough: Toward Exact Quantification a...

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IEEE Annual Conference on Decision and control

作者： Rahul Chandan Dario Paccagnan Jason R. Marden Department of Electrical and Computer Engineering Center of Control Dynamical Systems and Computation UC Santa Barbara USA Department of Mechanical Engineering Center of Control Dynamical Systems and Computation UC Santa Barbara USA

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Today's multiagent systems have grown too complex to rely on centralized controllers, prompting increasing interest in the design of distributed algorithms. In this respect, game theory has emerged as a valuable tool to complement more traditional techniques. The fundamental idea behind this approach is the assignment of agents' local cost functions, such that their selfish minimization attains, or is provably close to, the global objective. Any algorithm capable of computing an equilibrium of the corresponding game inherits an approximation ratio that is, in the worst case, equal to its price-of-anarchy. Therefore, a successful application of the game design approach hinges on the possibility to quantify and optimize the equilibrium *** this end, we introduce the notion of generalized smoothness, and show that the resulting efficiency bounds are significantly tighter compared to those obtained using the traditional smoothness approach. Leveraging this newly-introduced notion, we quantify the equilibrium performance for the class of local resource allocation games. Finally, we show how the agents' local decision rules can be designed in order to optimize the efficiency of the corresponding equilibria, by means of a tractable linear program.

关键词： Games Resource management Cost function Multi-agent systems Approximation algorithms control systems Nash equilibrium

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Genetic algorithms solution for unconstrained optimal crane control

Genetic algorithms solution for unconstrained optimal crane ...

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1999 Congress on Evolutionary computation, CEC 1999

作者： Kimiaghalam, Bahram Homaifar, Abdollah Bikdash, Marwan Dozier, Gerry NASA-Autonomous Control Engineering Center Department of Electrical Engineering NC AandT State University Greensboro NC United States Department of Computer Science and Engineering Auburn University AL 36849-5347 United States

ISBN: (纸本)0780355369

Crane control is a difficult problem for conventional control methods because of the highly nonlinear equations that must be satisfied. Usually the necessary conditions for solving an optimal control problem require finding the initial co-state vector. In this paper real-coded genetic algorithms are used to find the desired initial value of the costates of the system with no constraints. In our genetic representation, each chromosome represents a set of co-states and each gene (co-state) has an associated cost based on its ability to move the system to desired state after a given amount of time. The objective is to evolve a minimum cost co-state. Our results for this unconstrained crane problem are quite encouraging. © 1999 IEEE.

关键词： Genetic algorithms

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AFCD: An approximated-fair and controlled-delay queuing for high speed networks

AFCD: An approximated-fair and controlled-delay queuing for ...

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2013 IEEE 2013 22nd International Conference on computer Communication and Networks, ICCCN 2013

作者： Xue, Lin Kumar, Suman Cui, Cheng Kondikoppa, Praveenkumar Chiu, Chui-Hui Park, Seung-Jong School of Electrical Engineering and Computer Science Center for Computation and Technology Louisiana State University Baton Rouge LA United States Department of Computer Science Troy University Troy AL United States

ISBN: (纸本)9781467357746

High speed networks have characteristics of high bandwidth, long queuing delay, and high burstiness which make it difficult to address issues such as fairness, low queuing delay and high link utilization. Current high speed networks carry heterogeneous TCP flows which makes it even more challenging to address these issues. Since sender centric approaches do not meet these challenges, there have been several proposals to address them at router level via queue management (QM) schemes. These QM schemes have been fairly successful in addressing either fairness issues or large queuing delay but not both at the same time. We propose a new QM scheme called Approximated-Fair and controlled-Delay (AFCD) queuing for high speed networks that aims to meet following design goals: approximated fairness, controlled low queuing delay, high link utilization and simple implementation. The design of AFCD utilizes a novel synergistic approach by forming an alliance between approximated fair queuing and controlled delay queuing. It uses very small amount of state information in sending rate estimation of flows and makes drop decision based on a target delay of individual flow. Through experimental evaluation in a 10Gbps high speed networking environment, we show AFCD meets our design goals by maintaining approximated fair share of bandwidth among flows and ensuring a controlled very low queuing delay with a comparable link utilization. © 2013 IEEE.

关键词： HIgh speed networks

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Converse Lyapunov theorems and robust asymptotic stability for hybrid systems

Converse Lyapunov theorems and robust asymptotic stability f...

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American control Conference (ACC)

作者： Chaohong Cai A.R. Teel R. Goebel Department of Electrical & Computer Engineering Control Engineering & Computation University of California Santa Barbara USA

We state results on the existence of smooth Lyapunov functions for hybrid systems whose solutions satisfy a class-KLL estimate with respect to two measures. The class-KLL estimate, a natural extension of class-KL estimate, is in terms of the elapsed time and the number of jumps that have occurred. The main result is that a smooth Lyapunov function exists if and only if the class-KLL estimate is robust. In turn, sufficient conditions for robustness are given. Special cases include systems with compact attractors. Most of the results parallel, and unify, what has been developed previously for differential inclusions and difference inclusions.

关键词： Robust stability Asymptotic stability Lyapunov method Robustness Sufficient conditions Military computing Chaos State estimation Differential equations Difference equations

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Generalized PolyCube trivariate splines

Generalized PolyCube trivariate splines

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International Conference on Shape Modeling and Applications - Shape Modeling International Conference, SMI 2010

作者： Li, Bo Li, Xin Wang, Kexiang Qin, Hong Stony Brook NY 11790 United States Department of Electrical and Computer Engineering Center for Computation and Technology Louisiana State University Baton Rouge LA 70803 United States

ISBN: (纸本)9780769540726

This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain called Generalized PolyCube (GPC), comprising a set of regular cubes being glued together. Compared with the conventional PolyCube (PC) that could serve as a "one-piece" 3-manifold domain, GPC has more powerful and flexible representation ability. We develop an effective framework that parameterizes a solid model onto a topologically equivalent GPC domain, and design a hierarchical fitting scheme based on trivariate T-splines. The entire data-spline-conversion modeling framework provides high-accuracy data fitting and greatly reduce the number of superfluous control points. It is a powerful toolkit with broader application appeal in shape modeling, engineering analysis, and reverse engineering. © 2010 IEEE.

关键词： Reverse engineering

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Interpretation of ADRC in Q-Structure 6

Interpretation of ADRC in Q-Structure

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Xu, Jiapeng Chen, Xiang Tan, Ying Zhou, Kemin University of Windsor Department of Electrical and Computer Engineering Windsor Canada The University of Melbourne Department of Mechanical Engineering Melbourne Australia Center for Advanced Control and Smart Operations Nanjing University Suzhou China

ISBN: (纸本)9798350356618

This paper presents a control structure featuring an operator Q driven by the residual signal, which indicates the difference between the measurement output and the estimated output from an observer. The form of this observer is very general, as long as it can generate the estimated state or relevant information that will be incorporated into this control structure. The operator Q introduces an extra design freedom to address uncertainties, such that linear active disturbance rejection control (LADRC) can be interpreted as a special case in the Q-structure when a linear extended state observer is used. © 2024 IEEE.

关键词： Disturbance rejection

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