Proceedings of the ... American Control Conference. American Control Conference最新文献

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Online Markov decision processes with Kullback-Leibler control cost 具有Kullback-Leibler控制成本的在线马尔可夫决策过程

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2012-06-27 DOI: 10.1109/ACC.2012.6314926

Peng Guan, M. Raginsky, R. Willett

We consider an online (real-time) control problem that involves an agent performing a discrete-time random walk over a finite state space. The agent's action at each time step is to specify the probability distribution for the next state given the current state. Following the set-up of Todorov (2007, 2009), the state-action cost at each time step is a sum of a nonnegative state cost and a control cost given by the Kullback-Leibler divergence between the agent's next-state distribution and that determined by some fixed passive dynamics. The online aspect of the problem is due to the fact that the state cost functions are generated by a dynamic environment, and the agent learns the current state cost only after having selected the corresponding action. We give an explicit construction of an efficient strategy that has small regret (i.e., the difference between the total state-action cost incurred causally and the smallest cost attainable using noncausal knowledge of the state costs) under mild regularity conditions on the passive dynamics. We demonstrate the performance of our proposed strategy on a simulated target tracking problem.

我们考虑一个在线(实时)控制问题，该问题涉及一个代理在有限状态空间上执行离散时间随机行走。agent在每个时间步的动作是给定当前状态指定下一个状态的概率分布。根据Todorov(2007, 2009)的建立，每个时间步的状态-行动成本是由agent下一状态分布与某些固定被动动态决定的Kullback-Leibler散度给出的非负状态成本和控制成本之和。问题的在线方面是由于状态代价函数是由动态环境生成的，并且代理只有在选择了相应的动作之后才学习当前状态代价。在被动动力学的温和规则条件下，我们给出了一个具有小遗憾的有效策略的明确构造(即，在状态成本的非因果知识下产生的总状态-行动成本与可获得的最小成本之间的差异)。我们在一个模拟目标跟踪问题上验证了所提策略的性能。

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引用次数: 13

On fuzzy observer for systems with both continuous and discrete measurements 连续和离散测量系统的模糊观测器

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2012-06-27 DOI: 10.1109/ACC.2012.6315391

C. P. Guillén-Flores, B. Castillo-Toledo, J. P. García-Sandoval, V. González-Álvarez

This paper proposes the design of a fuzzy observer which uses both discrete and continuous measurements and updates the initial condition of the state of the system at each sampling instant to ensure the convergence of the estimation error. The proposed fuzzy observer is tested to estimate the substrate and biomass concentration of an anaerobic wastewater treatment process. The observer performance is compared via numerical simulation with two fuzzy observers which use only continuous measurements, showing a faster convergence rate. Finally, the whole estimation scheme is validated using experimental data from an anaerobic digestion process.

本文提出了一种模糊观测器的设计，该观测器同时使用离散和连续测量，并在每个采样时刻更新系统状态的初始条件，以保证估计误差的收敛性。对所提出的模糊观测器进行了试验，以估计厌氧废水处理过程中的基质和生物质浓度。通过数值模拟比较了两种只使用连续测量值的模糊观测器的性能，显示出更快的收敛速度。最后，利用厌氧消化过程的实验数据对整个估算方案进行了验证。

引用次数: 0

Resistance evolution in HIV - modeling when to intervene. HIV的耐药性进化-何时干预的建模。

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2012-01-01 DOI: 10.1109/ACC.2012.6315693

Liliana Mabel Peinado Cortes, Ryan Zurakowski

The treatment of HIV is complicated by the evolution of antiviral drug resistant virus and the limited availability of antigenically independent antiviral regimens. The consequences to the patient of successive virological failures is such that many strategies to minimize the occurrence of such failures are being investigated. In this paper, a Markov chain-based model of virological failure is introduced. This model considers sequential failure events, and differentiates between several modes of virological failure. This model is then used to evaluate the resistance- targeted interventions by means of testing the impact of a viral load preconditioning strategy on total treatment regimen longevity in HIV patients. It is shown that a proposed intervention targeting pre-existing resistance has the potential to increase the expected time to three sequential virological failures by an average of 3.3 years per patient. When combined with an intervention targeting patient compliance, the total potential increase in the time to three sequential virological failures is as high as 11.2 years. The impact on patient and public health is discussed.

由于抗病毒耐药病毒的进化和抗原性独立的抗病毒治疗方案的有限可用性，艾滋病毒的治疗变得复杂。连续病毒学失败对患者的影响是这样的，因此正在研究许多减少此类失败发生的策略。本文介绍了一种基于马尔可夫链的病毒学失效模型。该模型考虑了连续的失败事件，并区分了几种病毒学失败模式。然后，通过测试病毒载量预处理策略对HIV患者总治疗方案寿命的影响，该模型用于评估耐药性靶向干预措施。研究表明，针对预先存在的耐药性的拟议干预措施有可能将预期时间增加到每名患者平均3.3年的三次连续病毒学失败。当与针对患者依从性的干预相结合时，三次连续病毒学失败的总潜在时间增加高达11.2年。讨论了对患者和公众健康的影响。

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引用次数: 1

A Dynamical Systems Model for Improving Gestational Weight Gain Behavioral Interventions. 改善妊娠期体重增加行为干预的动态系统模型。

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2012-01-01 DOI: 10.1109/acc.2012.6315424

Yuwen Dong, Daniel E Rivera, Diana M Thomas, Jesús E Navarro-Barrientos, Danielle S Downs, Jennifer S Savage, Linda M Collins

Excessive gestational weight gain (GWG) represents a major public health concern. In this paper, we present a dynamical systems model that describes how a behavioral intervention can influence weight gain during pregnancy. The model relies on the integration of a mechanistic energy balance with a dynamical behavioral model. The behavioral model incorporates some well-accepted concepts from psychology: the Theory of Planned Behavior (TPB) and the principle of self-regulation which describes how internal processes within the individual can serve to reinforce the positive outcomes of an intervention. A hypothetical case study is presented to illustrate the basic workings of the model and demonstrate how the proper design of the intervention can counteract natural trends towards declines in healthy eating and reduced physical activity during the course of pregnancy. The model can be used by behavioral scientists to evaluate decision rules for adaptive time-varying behavioral interventions, or as the open-loop model for hybrid model predictive control algorithms acting as decision frameworks for such interventions.

妊娠期体重增加过多(GWG)是一个主要的公共卫生问题。在本文中，我们提出了一个动态系统模型，描述了行为干预如何影响怀孕期间体重增加。该模型依赖于机械能量平衡与动态行为模型的集成。行为模型结合了心理学中一些广为接受的概念:计划行为理论(TPB)和自我调节原则(描述了个体内部过程如何加强干预的积极结果)。本文提出了一个假设的案例研究，以说明该模型的基本工作原理，并证明适当的干预设计如何能够抵消怀孕期间健康饮食减少和体育活动减少的自然趋势。该模型可用于行为科学家评估自适应时变行为干预的决策规则，或作为混合模型预测控制算法的开环模型，作为此类干预的决策框架。

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引用次数: 28

Control of linear systems with input saturation and non-input-additive sustained disturbances - Continuous-time systems 具有输入饱和和非输入加性持续扰动的线性系统的控制。连续时间系统

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2012-01-01 DOI: 10.1109/ACC.2012.6314633

Xu Wang, A. Saberi, H. F. Grip, A. Stoorvogel

引用次数: 0

Primal and dual stability criteria for systems with time-varying gains 时变增益系统的原始和对偶稳定性判据

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2011-08-18 DOI: 10.1109/ACC.2011.5991231

U. Jönsson

Primal and dual stability criteria are derived for systems with uncertain or time-varying components that can be characterized using mixed multipliers. The constant part of the multiplier is used to model time-varying components while the frequency varying multiplier is used to model linear time-invariant uncertainties. It is shown that the dual criterion sometimes reduces to easy-to-use criteria that reveal the structure of the problem.

对于具有不确定或时变成分的系统，导出了原始和对偶稳定性准则，这些成分可以用混合乘法器来表征。乘法器的常数部分用于时变分量的建模，而变频乘法器用于线性时不变不确定性的建模。结果表明，偶准则有时可以简化为易于使用的准则，从而揭示问题的结构。

引用次数: 0

On the strain feedback control of a flexible robot arm 柔性机械臂的应变反馈控制

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2011-08-18 DOI: 10.1109/ACC.2011.5991063

Ö. Morgül

We consider a flexible robot arm modeled as a rigid hub which rotates in an inertial space; a light flexible link is clamped to the rigid body at one end and is free at the other. We assume that the flexible link performs only planar motion. We assume that the strain of the flexible link at the clamped end is measurable. We show that suitable control torques applied to the rigid hub stabilizes the system and achieves orientation under certain conditions. The proposed torque contains derivative, proportional and integral terms of the strain. The stability proofs depend on the passivity of the controller transfer function.

将柔性机械臂建模为在惯性空间中旋转的刚性轮毂;轻的柔性连杆一端夹紧在刚体上，另一端是自由的。我们假设柔性连杆只做平面运动。我们假定柔性连杆在夹紧端处的应变是可测量的。研究表明，在一定条件下，施加适当的控制力矩可以使刚性轮毂稳定并实现定向。所提出的扭矩包含应变的导数项、比例项和积分项。稳定性证明依赖于控制器传递函数的无源性。

引用次数: 6

Online estimation of an electric vehicle Lithium-Ion battery using recursive least squares with forgetting 带遗忘的递归最小二乘法在线估计电动汽车锂离子电池

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2011-08-18 DOI: 10.1109/ACC.2011.5991260

Xiaosong Hu, Fengchun Sun, Y. Zou, H. Peng

A battery model that is suitable for real-time State-of-Charge (SOC) estimation of a Lithium-Ion battery is presented in this paper. The battery open circuit voltage (OCV) as a function of SOC is described by an adaptation of the Nernst equation. The analytical representation can facilitate Kalman filtering or observer-based SOC estimation methods. A zero-state hysteresis correction term is used to depict the hysteresis effect of the battery. A parallel resistance-capacitance (RC) network is used to depict the relaxation effect of the battery. A linear discrete-time formulation of the battery model is derived. A recursive least squares algorithm with forgetting is applied to implement the online parameter calibration. Validation results show that the calibrated model can accurately simulate the dynamic voltage behavior of the Lithium-Ion battery for two different experimental data sets.

提出了一种适合于实时估算锂离子电池荷电状态的电池模型。电池开路电压(OCV)作为荷电状态的函数，通过对能斯特方程的修正来描述。分析表示可以简化卡尔曼滤波或基于观测器的SOC估计方法。采用零状态迟滞校正项来描述电池的迟滞效应。采用并联电阻-电容(RC)网络来描述电池的松弛效应。导出了电池模型的线性离散时间表达式。采用带遗忘的递推最小二乘算法实现在线参数标定。验证结果表明，校正后的模型能够准确模拟两种不同实验数据集下锂离子电池的动态电压行为。

引用次数: 76

A survey on diagnostics methods for automotive engines 汽车发动机诊断方法综述

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2011-08-18 DOI: 10.1109/ACC.2011.5990643

J. Mohammadpour, M. Franchek, K. Grigoriadis

Faults affecting the automotive engines can potentially lead to increased emissions, increased fuel consumption or engine damage. These negative impacts may be prevented, or at least alleviated, if faults can be detected and isolated in a timely manner. The US Federal and State regulations dictate that automotive engines operate with an On-Board Diagnosis (OBD) system to enable the detection of faults resulting in increased emissions. In this paper, we survey and discuss the different aspects of fault detection and diagnosis in automotive engine systems. The paper aims to describe some of the efforts made in the academia and industry on the fault detection and isolation for a variety of component faults, actuator faults, and sensor faults in automotive engines using various data-driven and model-based methods.

影响汽车发动机的故障可能会导致排放增加、燃料消耗增加或发动机损坏。如果能够及时发现和隔离故障，这些负面影响是可以避免的，或者至少是可以减轻的。美国联邦和州法规规定，汽车发动机必须配备车载诊断(OBD)系统，以检测导致排放增加的故障。本文对汽车发动机系统故障检测与诊断的各个方面进行了综述和讨论。本文旨在描述学术界和工业界在汽车发动机中各种部件故障、致动器故障和传感器故障的检测和隔离方面所做的一些努力，这些检测和隔离采用了各种数据驱动和基于模型的方法。

引用次数: 33

Neighborhood Search Assisted Particle Swarm Optimization (NPSO) Algorithm for Partitional Data Clustering Problems 邻域搜索辅助粒子群优化(NPSO)算法用于局部数据聚类问题

Proceedings of the ... American Control Conference. American Control Conference

Pub Date : 2011-07-22 DOI: 10.1007/978-3-642-22720-2_58

R. Karthi, C. Rajendran, K. Rameshkumar

引用次数: 6

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