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2006 American Control Conference最新文献

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Formation stabilization and tracking control of mobile agents using local potential functions 基于局部势函数的移动agent编队稳定与跟踪控制
Pub Date : 2006-07-24 DOI: 10.1109/ACC.2006.1656536
K. D. Do
We present a constructive method to design cooperative controllers that force a group of N mobile agents to stabilize at a fixed desired location in terms of both shape and orientation while guaranteeing no collisions between the agents can occur. The proposed formation stabilization solution is extended to formation tracking in 2-dimensional (2D) space. The control development is based on new local potential functions, which attain the minimum value when the desired formation is achieved, and are equal to infinity when a collision occurs
我们提出了一种建设性的方法来设计合作控制器,迫使一组N个移动智能体在形状和方向上稳定在一个固定的期望位置,同时保证智能体之间不会发生碰撞。将所提出的地层稳定解决方案扩展到二维空间的地层跟踪。控制发展基于新的局部势函数,当达到期望的形状时达到最小值,当发生碰撞时等于无穷大
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引用次数: 6
Reinforcement learning with supervision by combining multiple learnings and expert advices 通过多种学习和专家建议相结合的强化学习与监督
Pub Date : 2006-07-24 DOI: 10.1109/ACC.2006.1657371
H. Chang
In this paper, we provide a formal coherent learning framework where reinforcement learning is combined with multiple learnings and expert advices toward accelerating convergence speed of learning. Our approach is simply to use a nonstationary "potential-based reinforcement function" for shaping the reinforcement signal given to the learning "base-agent". The base-agent employes SARSA(O) or adaptive asynchronous value iteration (VI), and the supervised inputs to the base-agent from the "subagents" involved with other parallel independent reinforcement learnings and if available, from experts are "merged" into the potential-based reinforcement function value and the value is put into the update equation of SARSA(O) for the Q-function estimate or of adaptive asynchronous VI for the optimal value function estimate. The resulting SARSA(O) and adaptive asynchronous VI converge to an optimal policy, respectively
在本文中,我们提供了一个正式的连贯学习框架,其中强化学习与多种学习和专家建议相结合,以加快学习的收敛速度。我们的方法是简单地使用一个非平稳的“基于电位的强化函数”来塑造给予学习“基础代理”的强化信号。基本智能体使用SARSA(O)或自适应异步值迭代(VI),并且从涉及其他并行独立强化学习的“子智能体”以及(如果有的话)来自专家的监督输入被“合并”到基于电位的强化函数值中,并将该值放入SARSA(O)的更新方程中用于q函数估计或自适应异步VI的更新方程中用于最优值函数估计。结果SARSA(O)和自适应异步VI分别收敛到最优策略
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引用次数: 10
Vehicle routing and dispatching for emergency personnel evacuation from off-shore oil platforms 海上石油平台应急人员疏散车辆路径与调度
Pub Date : 2006-07-24 DOI: 10.1109/ACC.2006.1657428
F. Vargas-Villamil
The vehicle routing (VR) and dispatching for emergency personnel evacuation (EPE) from off-shore oil platforms is a complex and very important problem for the oil and gas industry. Frequently, the emergency evacuation plan has to be modified due to uncertain data and the occurrence of an event. Therefore, the personnel inventory control and scheduling algorithms must be able to take into account uncertainty. In this work, this system is divided into inventories and jobs i.e., loading, unloading, and transportation, and the EPE problem is solved optimizing a transportation capacitated network which is coupled to a set of parallel plants (platforms), where each plant has two processes. In this system, the platforms are served using a dispatching rule, and the VR and dispatching is done solving a mixed-integer nonlinear programming problem (MINLP) each time an event occurs. This approach is illustrated with a case study of a six-vehicle, eight-platform, off-shore oil platform system. Although small, this case study preserves the main characteristics of a real complex since it includes different vehicle types (boats and helicopters), and different platform and vehicle capacities
海上石油平台人员紧急疏散的车辆调度是油气行业面临的一个复杂而重要的问题。由于数据的不确定性和事件的发生,应急疏散计划经常需要修改。因此,人员库存控制和调度算法必须能够考虑到不确定性。在本工作中,将该系统划分为库存和作业,即装卸和运输,并优化一个运输能力网络来解决EPE问题,该网络与一组并行工厂(平台)耦合,其中每个工厂有两个过程。该系统采用调度规则对平台进行服务,每次发生事件时通过求解混合整数非线性规划问题(MINLP)来实现虚拟现实和调度。该方法以一个六车、八平台的海上石油平台系统为例进行了说明。虽然规模很小,但这个案例研究保留了一个真正的综合体的主要特征,因为它包括不同的车辆类型(船和直升机),以及不同的平台和车辆容量
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引用次数: 5
Robust fault diagnosis for a satellite large angle attitude system using an iterative neuron PID (INPID) observer 基于迭代神经元PID观测器的卫星大角度姿态系统鲁棒故障诊断
Pub Date : 2006-07-24 DOI: 10.1109/ACC.2006.1657635
Qing Wu, M. Saif
A fault detection and diagnosis (FDD) scheme using an iterative neuron PID (INPID) observer is explored in this paper. The observer input, which is used to estimate state faults, is computed by utilizing the proportional, integral, and derivative information of the fault estimation error. Two classes of robust adaptive algorithms are adopted to update the parameters of the observer input. Theoretically, the convergence properties of these adaptive algorithms are investigated in two different ways, and the stability of this fault detection and diagnosis scheme is analyzed as well. Finally, the proposed FDD scheme is applied to a satellite with large angle attitude maneuvers, and the simulation results demonstrate its good performance
提出了一种基于迭代神经元PID观测器的故障检测与诊断方案。利用故障估计误差的比例信息、积分信息和导数信息计算用于状态故障估计的观测器输入。采用两类鲁棒自适应算法更新观测器输入参数。从理论上研究了这两种自适应算法的收敛性,并分析了该故障检测诊断方案的稳定性。最后,将该方案应用于某卫星大角度姿态机动,仿真结果表明了该方案的良好性能
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引用次数: 34
Rejection of harmonic sensor disturbances in passive systems, and applications to attitude control 无源系统中谐波传感器干扰的抑制及其在姿态控制中的应用
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1657650
P. Pisu, A. Serrani, G. Rizzoni
We consider the problem of asymptotic stabilization of nonlinear systems by output feedback, in the case in which the measured output is corrupted by additive harmonic noise. We restrict our attention to systems which are passive with respect to the measured output, and the sensor disturbance has a finite discrete spectrum. A simple condition for zero-state detectability of passive partially linear systems is derived, and the result is employed to analyze the loop interconnection resulting from the application of internal model-based controllers to the perturbed plant. The analysis applies directly to the problem of stabilizing the angular velocity and/ or regulating the attitude of a rigid body using noisy angular rate measurements. The proposed controllers have a simple structure that exploit the passivity property of both the internal model and the plant. Simulation results show the effectiveness of the design
研究了被测输出被加性谐波噪声破坏的非线性系统的输出反馈渐近镇定问题。我们将注意力限制在相对于被测输出是无源的系统,并且传感器干扰具有有限的离散谱。导出了无源部分线性系统零状态可检测性的一个简单条件,并利用该条件分析了在被摄动对象上应用基于内模的控制器所产生的环路互连。该分析直接适用于稳定角速度和/或调节刚体的姿态使用噪声角速率测量的问题。所提出的控制器结构简单,利用了内部模型和被控对象的无源性。仿真结果表明了该设计的有效性
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引用次数: 3
Stable emergent heterogeneous agent distributions in noisy environments 噪声环境下稳定涌现的异质智能体分布
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1656534
J. Finke, K. Passino
A mathematical model is introduced for the study of the behavior of a spatially distributed group of heterogenous agents which possess noisy assessments of the state of their immediate surroundings. We define general sensing and motion conditions on the agents that guarantee the emergence of a type of "ideal free distribution" (IFD) across the environment, and focus on how individual and environmental characteristics affect this distribution. In particular, we show the impact of the agents' maneuvering and sensing abilities for different classes of environments, and how spatial constraints of the environment affect the rate at which the distribution is achieved. Finally, we apply this model to a cooperative vehicle control problem and present simulation results that show the benefits of an IFD-based distributed decision-making strategy
介绍了一种数学模型,用于研究空间分布的异质智能体群的行为,这些异质智能体对其周围环境的状态具有噪声评估。我们定义了保证在整个环境中出现一种“理想自由分布”(IFD)的智能体的一般传感和运动条件,并关注个体和环境特征如何影响这种分布。特别是,我们展示了智能体的机动和感知能力对不同类型环境的影响,以及环境的空间约束如何影响实现分布的速度。最后,我们将该模型应用于一个协同车辆控制问题,并给出了仿真结果,显示了基于ifd的分布式决策策略的优势
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引用次数: 8
Model reduction of discrete-time Markov jump linear systems 离散马尔可夫跳变线性系统的模型约简
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1655398
Georgios Kotsalis, A. Megretski, M. Dahleh
This paper proposes a model reduction algorithm for discrete-time, Markov jump linear systems. The main point of the reduction method is the formulation of two generalized dissipation inequalities that in conjunction with a suitably defined storage function enable the derivation of reduced order models that come with a provable a priori upper bound on the stochastic L2 gain of the approximation error
提出了一种离散时间马尔可夫跳变线性系统的模型约简算法。约简方法的要点是两个广义耗散不等式的公式,它们与适当定义的存储函数相结合,可以推导出具有可证明的近似误差随机L2增益的先验上界的降阶模型
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引用次数: 15
Multi-level control of hydraulic gerotor motors and pumps 液压马达和泵的多级控制
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1657450
B. Armstrong, Qinghui Yuan
Multi-level control is a novel method introduced for the control of hydraulic motors and pumps. The method is applicable when two-position, electronically controlled valves are connected to each chamber of a gerotor motor or pump. For motors, the multi-level control can directly regulate the torque, similar to torque regulation of a DC electric motor through current control. For pumps, multi-level control can directly regulate the volume flow rate. Multi-level control permits the regulation of hydraulic motors and pumps without the energy loss associated with a flow control valve, or the mechanical complexity associated with a variable displacement device. Regulation is achieved by using computer control to exploit the complete set of valve combinations, creating torque or flow patterns that are not possible with mechanically actuated values
多级控制是一种用于液压马达和液压泵控制的新方法。当两个位置的电子控制阀连接到电机或泵的每个腔室时,该方法适用。对于电机,多级控制可以直接调节转矩,类似于直流电机通过电流控制来调节转矩。对于泵来说,多级控制可以直接调节容积流量。多级控制允许调节液压马达和泵,而没有与流量控制阀相关的能量损失,也没有与可变排量装置相关的机械复杂性。调节是通过计算机控制来实现的,利用整套阀门组合,产生机械驱动值无法实现的扭矩或流量模式
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引用次数: 17
Theoretical aspects of high-speed supercavitation vehicle control 高速超空泡飞行器控制理论研究
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1657559
B. Vanek, J. Bokor, G. Balas
A control system based on feedback linearization is developed for a high-speed supercavitating underwater vehicle. The supercavitation bubble surrounding the body leads to reduced drag but is also responsible for the undesired switched, nonlinear and delay dependent behavior caused by the phenomena known as planing. The theoretical contributions of the switched control design are discussed in connection with the mathematical description of the system. Special attention is made to understand and handle the complex and novel dynamics of the vehicle
研制了一种基于反馈线性化的高速超空泡水下航行器控制系统。体周围的超空化气泡导致阻力减小,但也负责不希望的切换,非线性和延迟依赖行为引起的现象,称为平面。结合系统的数学描述,讨论了开关控制设计的理论贡献。特别注意的是要理解和处理车辆的复杂和新颖的动力学
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引用次数: 38
Global stabilization of a fully actuated mechanical system on a Riemannian manifold: controller structure 黎曼流形上全驱动机械系统的全局镇定:控制器结构
Pub Date : 2006-06-14 DOI: 10.1109/ACC.2006.1657279
N. Chaturvedi, A. Bloch, N. McClamroch
We present a general intrinsic controller for stabilization of an arbitrary configuration of a fully actuated simple mechanical control system, evolving on a Riemannian manifold. We explicitly determine conditions for an error function on the configuration manifold and present a family of controllers. We show that under certain assumptions the controllers achieve stabilization with an almost global domain of attraction. The controllers do not cancel benign nonlinearities and can accommodate control saturation effects. Being intrinsic, we do not assume any coordinates. Finally, we illustrate our technique by explicitly deriving a control law that almost globally asymptotically stabilizes the inverted position of a spherical pendulum. Continuing this work by N. A. Chaturvedi, et al., we explicitly present error functions for many configuration manifolds encountered in engineering examples, and show how to design almost globally stabilizing controllers, under saturation effects. In this paper, we present the structure of such a controller and establish the properties of the resulting closed-loop
我们提出了一种通用的内在控制器,用于稳定在黎曼流形上演化的完全驱动简单机械控制系统的任意构形。我们显式地确定了构型流形上误差函数的条件,并给出了一类控制器。我们证明了在一定的假设下,控制器实现了具有几乎全局吸引域的镇定。控制器不消除良性非线性,并能适应控制饱和效应。作为内禀函数,我们不假设任何坐标。最后,我们通过显式地推导出一个几乎全局渐近稳定球摆倒立位置的控制律来说明我们的技术。继续n.a. Chaturvedi等人的工作,我们明确地给出了工程实例中遇到的许多配置流形的误差函数,并展示了如何在饱和效应下设计几乎全局稳定的控制器。在本文中,我们给出了这种控制器的结构,并建立了闭环的性质
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引用次数: 16
期刊
2006 American Control Conference
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