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IEEE Annual Conference on Decision and control

作者： John W. Simpson-Porco Florian Dorfler Francesco Bullo Department of Mechanical Engineering and the Center for Control Dynamical Systems and Computation University of California Santa Barbara Automatic Control Laboratory ETH Zurich 8092 Zurich Switzerland

ISBN: (纸本)9781479978878

A central question in the analysis and operation of power networks is the feasibility of a unique high-voltage solution to the power flow equations satisfying operational constraints. For planning, monitoring, and contingency analysis in transmission networks, the high-voltage solution of these nonlinear equations can be constructed only numerically or roughly approximated using a linear DC power flow. In this work we analytically study the solvability of the nonlinear decoupled reactive power flow equations, and present a solvability condition relating the existence of a unique high-voltage solution to the spatial distribution of loading and the effective impedances between load buses. We validate the accuracy and applicability of our results through standard power network test cases.

关键词： Reactive power Mathematical model Generators Load modeling Power system stability Loading Numerical stability

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Stabilization of Discrete-time Piecewise Affine systems with Quantized Signals

Stabilization of Discrete-time Piecewise Affine Systems with...

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IEEE Annual Conference on Decision and control

作者： Masashi Wakaiki Yutaka Yamamoto Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA Department of Applied Analysis and Complex Dynamical Systems Graduate School of Informatics Kyoto University Kyoto 606-8501 Japan

ISBN: (纸本)9781479978878

This paper studies quantized control for discrete-time piecewise affine systems. For given stabilizing feedback controllers, we propose an encoding strategy for local stability. If the quantized state is near the boundaries of quantization regions, then the controller can recompute a better quantization value. For the design of quantized feedback controllers, we also consider the stabilization of piecewise affine systems with bounded disturbances. In order to derive a less conservative design method with low computational cost, we investigate a region to which the state belong in the next step.

关键词： feedback controller encoding strategy Affine In-law quantized signal Piecewise local stability discrete-time design approach Quantization

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Observability of linear systems under adversarial attacks

Observability of linear systems under adversarial attacks

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American control Conference

作者： Michelle S. Chong Masashi Wakaiki Joao P. Hespanha Department of Electrical and Electronic Engineering the University of Melbourne Australia Center for Control Dynamical systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA

ISBN: (纸本)9781479917730

We address the problem of state estimation for multi-output continuous-time linear systems, for which an attacker may have control over some of the sensors and inject (potentially unbounded) additive noise into some of the measured outputs. To characterize the resilience of a system against such sensor attacks, we introduce a new notion of observability -- termed "observability under attacks" -- that addresses the question of whether or not it is possible to uniquely reconstruct the state of the system by observing its inputs and outputs over a period of time, with the understanding that some of the available system's outputs may have been corrupted by the opponent. We provide computationally efficient tests for observability under attacks that amount to testing the (standard) observability for an appropriate finite set of systems. In addition, we propose two state estimation algorithms that permit the state reconstruction in spite of the attacks. One of these algorithms uses observability Gramians and a finite window of measurements to reconstruct the initial state. The second algorithm takes the form of a switched observer that asymptotically converges to the correct state estimate in the absence of additive noise and disturbances, or to a neighborhood of the correct state estimate in the presence of bounded noise and disturbances.

关键词： State estimation Observability Linear system Additive noise Sensors

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Sensor-based Hybrid Observer for Dynamic Positioning

Sensor-based Hybrid Observer for Dynamic Positioning

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IEEE Annual Conference on Decision and control

作者： Astrid H. Brodtkorb Andrew R. Teel Asgeir J. Sorensen Centre for Autonomous Marine Operations (AMOS) Department of Marine Technology Norwegian University of Science and Technology (NTNU) Otto Nielsens vei 10 7491 Trondheim Norway Center for Control Dynamical Systems and Computation Department of Electrical Engineering University of California Santa Barbara CA 93106-9560

ISBN: (纸本)9781479978878

Observers are important components of dynamic positioning (DP) systems for marine vessels, estimating unmeasured states, filtering noise, filtering out wave induced motions, and predicting states in the case of signal loss. In this paper, a sensor-based hybrid observer concept is investigated. The concept assumes that noisy position measurements are available only occasionally at a non-constant sampling rate. Predictions of position between the samples are provided by integrating acceleration measurements, which are available at a high rate (approximated to be continuous sampling). Estimates with smaller variance are computed by averaging multiple observer copies of position and velocity. The contributions of this paper include the design, stability analysis and simulation of a sensor-based hybrid observer combining noisy acceleration, velocity and position measurements of a vessel in DP using different sampling rates.

关键词： Dynamic positioning acceleration measurement DP system pressure vessels Observers Continuous sampling

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Real-time Pricing and Distributed Decision Makings Leading to Optimal Power Flow of Power Grids

Real-time Pricing and Distributed Decision Makings Leading t...

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American control Conference

作者： Kenji Hirata Joao P. Hespanha Kenko Uchida Department of Mechanical Engineering Nagaoka University of Technology Nagaoka 940 2188 Japan Center for Control Dynamical Systems and Computation and the Department of Electrical and Computer Engineering University of California Santa Barbara CA 93106 USA Department of Electrical Engineering and Bioscience Waseda University Tokyo 169 8555 Japan

ISBN: (纸本)9781479917730

Motivated by distributed control problems of power supply/demand networks, this paper investigates application case studies of the real-time pricing and distributed decision makings methodology. We consider the optimal power flow problem with the DC power flow model, and the New England 39-bus test system is used. Stability of the resulting price based control system is analyzed with consideration for specific structures of the power flow problem. The resulting simulation studies illustrate the efficiency of the proposed method and validate the stability analysis procedure.

关键词： optimal load flow Power grids Power flow distributed decision making Pricing decentralised control Test systems DC load flow

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João Hespanha [People in control]

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IEEE control systems 2014年第1期34卷 22-24页

作者： Hespanha, João Center for Control Dynamical Systems and Computation University of California Santa BarbaraCA United States Department of Electrical and Computer Engineering University of California Harold Frank Hall Santa BarbaraCA93106-9560 United States

In this issue of IEEE control systems Magazine, we speak with João Hespanha, who is a professor and chair of the Department of Electrical and Computer Engineering and Director of the center for control, dynamical systems, and computation at the University of California, Santa Barbara. He received a Licenciatura and an M.S. at Instituto Superior Técnico, Lisbon, Portugal, in 1991 and 1993, respectively, and a Ph.D. from Yale University in 1998. He was formerly on the faculty in the Department of Electrical Engineering at the University of Southern California. He is a Fellow of IEEE and a recipient of the Automatica Theory/Methodology Best Paper Prize, the George S. Axelby Outstanding Paper Award, and the Antonio Ruberti Young Researcher Prize. His research interests include hybrid systems, networked control systems, cooperative control, advanced sensing, and systems biology. © 2014 IEEE.

关键词： Hybrid systems

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Disturbance Rejection of Multi-agent systems: A Reinforcement Learning Differential Game Approach

Disturbance Rejection of Multi-agent Systems: A Reinforcemen...

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American control Conference

作者： Qiang Jiao Hamidreza Modares Shengyuan Xu Frank L. Lewis Kyriakos G. Vamvoudakis School of Automation Nanjing University of Science and Technology Nanjing 210094 Jiangsu P.R. China University of Texas at Arlington Research Institute 7300 Jack Newell Blvd. S. Ft. Worth TX 76118 USA Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA

ISBN: (纸本)9781479917730

Distributed tracking control of multi-agent linear systems in the presence of disturbances is considered in this paper. The given problem is first formulated into a multi-player zero-sum differential graphical game. It is shown that the solution to this problem requires solving the coupled Hamilton-Jacobi-Isaacs (HJI) equations. A multi-agent reinforcement learning algorithm is developed to find the solution to these coupled HJI equations. The convergence of this algorithm to the optimal solution is proven. It is also shown that the proposed method guarantees L_2-bounded synchronization errors in the presence of dynamical disturbances.

关键词： Games Synchronization Learning (artificial intelligence) Convergence Nash equilibrium Heuristic algorithms

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Hybrid systems with memory: Modelling and stability analysis via generalized solutions 19

Hybrid systems with memory: Modelling and stability analysis...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Liu, Jun Teel, Andrew R. Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Center for Control Dynamical Systems and Computation Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States

ISBN: (纸本)9783902823625

Hybrid systems with memory are dynamical systems exhibiting both hybrid and delay phenomena. We present a general modelling framework for such systems using hybrid functional inclusions, whose generalized solutions are defined on hybrid time domains and evolve in the phase space of hybrid memory arcs equipped with the graphical convergence topology. We prove a general existence result based on some basic conditions on the data of hybrid systems. We further establish sufficient conditions for the stability analysis of hybrid systems with memory using Lyapunov-Razumikhin (L-R) functions. We demonstrate the stability results on a general nonlinear system with switching dynamics and state jumps. © IFAC.

关键词： System stability

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Autonomy and Machine Intelligence in Complex systems: A Tutorial

Autonomy and Machine Intelligence in Complex Systems: A Tuto...

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American control Conference

作者： Kyriakos G. Vamvoudakis Panos J. Antsaklis Warren E. Dixon Joao P. Hespanha Frank L. Lewis Hamidreza Modares Bahare Kiumarsi Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA Electrical Engineering Department University of Notre Dame Notre Dame IN 46556 USA Department of Mechanical and Aerospace Engineering University of Florida Gainesville FL 32611 USA The University of Texas at Arlington Research Institute (UTARI) Ft. Worth TX 76118 USA

ISBN: (纸本)9781479917730

This tutorial paper will discuss the development of novel state-of-the-art control approaches and theory for complex systems based on machine intelligence in order to enable full autonomy. Given the presence of modeling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of teams of complex systems, there is a need for approaches that respond to situations not programmed or anticipated in design. Unfortunately, existing schemes for complex systems do not take into account recent advances of machine intelligence. We shall discuss on how to be inspired by the human brain and combine interdisciplinary ideas from different fields, i.e. computational intelligence, game theory, control theory, and information theory to develop new self-configuring algorithms for decision and control given the unavailability of model, the presence of enemy components and the possibility of network attacks. Due to the adaptive nature of the algorithms, the complex systems will be capable of breaking or splitting into parts that are themselves autonomous and resilient. The algorithms discussed will be characterized by strong abilities of learning and adaptivity. As a result, the complex systems will be fully autonomous, and tolerant to communication failures.

关键词： Machine Learning Complex systems Autonomy Information Theory

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Nonlinear Output-Feedback Model Predictive control with Moving Horizon Estimation

Nonlinear Output-Feedback Model Predictive Control with Movi...

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IEEE Annual Conference on Decision and control

作者： David A. Copp Joao P. Hespanha Center for Control Dynamical Systems and Computation University of California Santa Barbara CA 93106 USA

ISBN: (纸本)9781467360890

We introduce an output-feedback approach to model predictive control that combines state estimation and control into a single min-max optimization. Under appropriate assumptions that ensure controllability and observability of the nonlinear process to be controlled, we prove that the state of the system remains bounded and establish bounds on the tracking error for trajectory tracking problems. The results apply both to infinite and finite-horizon optimizations, the latter requiring reversible dynamics and the use of a terminal cost that is an ISS-control Lyapunov function with respect to a disturbance input. A numerical example is presented that illustrates these results.

关键词： Model predictive control Predictive control Liapunov function Observability State estimation controllability Moving horizon state estimation numerical example Infinite Horizon Moving disturbance non-linear process

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