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# IEEE Transactions on Automatic Control

## Issue 6 • June 2017

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## Filter Results

Displaying Results 1 - 25 of 56

Publication Year: 2017, Page(s):C1 - C4
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• ### IEEE Control Systems Society

Publication Year: 2017, Page(s): C2
| PDF (157 KB)
• ### Scanning the Issue*

Publication Year: 2017, Page(s):2609 - 2611
| PDF (92 KB)
• ### A Unifying Energy-Based Approach to Stability of Power Grids With Market Dynamics

Publication Year: 2017, Page(s):2612 - 2622
Cited by:  Papers (4)
| | PDF (330 KB)

In this paper, a unifying energy-based approach is provided to the modeling and stability analysis of power systems coupled with market dynamics. We consider a standard model of the power network with a third-order model for the synchronous generators involving voltage dynamics. By applying the primal-dual gradient method to a social welfare optimization, a distributed dynamic pricing algorithm is... View full abstract»

• ### Model-Free Plant Tuning

Publication Year: 2017, Page(s):2623 - 2634
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Given a static plant described by a differentiable input-output function, which is completely unknown, but whose Jacobian takes values in a known polytope in the matrix space, this paper considers the problem of tuning (i.e., driving to a desired value) the output, by suitably choosing the input. It is shown that, if the polytope is robustly nonsingular (or has full rank, in the nonsquare case), t... View full abstract»

• ### Quickest Change Detection With Observation Scheduling

Publication Year: 2017, Page(s):2635 - 2647
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The quickest change detection problem is to detect an abrupt change event as quickly as possible subject to constraints on false detection. Unlike the classical problem, where the decision maker can access only one sequence of observations, in this paper, the decision maker chooses one of two different sequences of observations at each time instant. The information quality and sampling cost of the... View full abstract»

• ### Simple and Robust Experiment Design for System Identification Using Fractional Models

Publication Year: 2017, Page(s):2648 - 2658
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This paper tackles the problems of simple and robust experiment design for system identification using elementary fractional models. It is based on a frequency domain approach and allows to determine the best sine input signal maximizing D-optimality criterion of the parameters inverse covariance matrix in different contexts? First, a single parameter (any of the parameters of the elementary fract... View full abstract»

• ### Network Flows That Solve Linear Equations

Publication Year: 2017, Page(s):2659 - 2674
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We study distributed network flows as solvers in continuous time for the linear algebraic equation z = Hy. Each node i has access to a row hTi of the matrix H and the corresponding entry zi in the vector z. The first “consensus + projection” flow under investigation consists of two terms, one from standard consensus dynamics and the other contributing to projection onto each affine s... View full abstract»

• ### Linear Quadratic Regulation of Switched Systems Using Informed Policies

Publication Year: 2017, Page(s):2675 - 2688
| | PDF (451 KB) | HTML

The problem of designing a switching and control policy for regulating the state of a switched linear system to zero while minimizing a quadratic cost appears in numerous applications. However, obtaining the optimal policy is in general computationally intractable. Here, we propose a class of suboptimal policies that exploit information, in terms of upper or lower bounds, on the optimal cost. We a... View full abstract»

• ### An Actor-Critic Algorithm With Second-Order Actor and Critic

Publication Year: 2017, Page(s):2689 - 2703
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Actor-critic algorithms solve dynamic decision making problems by optimizing a performance metric of interest over a user-specified parametric class of policies. They employ a combination of an actor, making policy improvement steps, and a critic, computing policy improvement directions. Many existing algorithms use a steepest ascent method to improve the policy, which is known to suffer from slow... View full abstract»

• ### Structural Properties of a Class of Linear Hybrid Systems and Output Feedback Stabilization

Publication Year: 2017, Page(s):2704 - 2719
Cited by:  Papers (1)
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In this paper, we deal with the problem of output feedback stabilization for a class of linear hybrid systems. This problem is addressed by characterizing the structural properties of such a class of systems. Namely, reachability, controllability, stabilizability, observability, constructibility, and detectability are framed in terms of algebraic and geometric conditions on the data of the system.... View full abstract»

Publication Year: 2017, Page(s):2720 - 2735
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We present distributed subgradient methods for min-max problems with agreement constraints on a subset of the arguments of both the convex and concave parts. Applications include constrained minimization problems where each constraint is a sum of convex functions in the local variables of the agents. In the latter case, the proposed algorithm reduces to primal-dual updates using local subgradients... View full abstract»

• ### Stability Analysis of Discrete-Time Infinite-Horizon Optimal Control With Discounted Cost

Publication Year: 2017, Page(s):2736 - 2749
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We analyze the stability of general nonlinear discrete-time systems controlled by an optimal sequence of inputs that minimizes an infinite-horizon discounted cost. First, assumptions related to the controllability of the system and its detectability with respect to the stage cost are made. Uniform semiglobal and practical stability of the closed-loop system is then established, where the adjustabl... View full abstract»

• ### Discrete-Valued Control of Linear Time-Invariant Systems by Sum-of-Absolute-Values Optimization

Publication Year: 2017, Page(s):2750 - 2763
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In this paper, we propose a new design method of discrete-valued control for continuous-time linear time-invariant systems based on sum-of-absolute-values (SOAV) optimization. We first formulate the discrete-valued control design as a finite-horizon SOAV optimal control, which is an extended version of ${\mathbb{L}^{1}}$ optim... View full abstract»

• ### Global Stability Results for Switched Systems Based on Weak Lyapunov Functions

Publication Year: 2017, Page(s):2764 - 2777
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In this paper we study the stability of nonlinear and time-varying switched systems under restricted switching. We approach the problem by decomposing the system dynamics into a nominal-like part and a perturbation-like one. Most stability results for perturbed systems are based on the use of strong Lyapunov functions, i.e. functions of time and state whose total time derivative along the nominal ... View full abstract»

• ### A Generalized Framework for Inference-Based Diagnosis of Discrete Event Systems Capturing Both Disjunctive and Conjunctive Decision-Making

Publication Year: 2017, Page(s):2778 - 2793
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We have previously introduced an inference-based framework for decentralized decision-making, comprising of multiple observers, each with its own partial observation, where inferencing over the ambiguities of the self and the others is used to issue local decisions, and a global decision is taken to be the one possessing the minimum ambiguity level. In this setting, we previously introduced the no... View full abstract»

• ### Feedback Controller Norm Optimization for Linear Time Invariant Descriptor Systems With Pole Region Constraint

Publication Year: 2017, Page(s):2794 - 2806
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An algorithm is proposed to compute a state feedback gain matrix for a linear time invariant, regular descriptor system, which ensures that i) the closed loop system is impulse-free and ii) all the finite poles are placed within a pre-defined stability region in the complex plane. The associated design flexibilities are exploited in minimizing upper bounds of the Frobenius norm of... View full abstract»

• ### Online Learning of Feasible Strategies in Unknown Environments

Publication Year: 2017, Page(s):2807 - 2822
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Define an environment as a set of convex constraint functions that vary arbitrarily over time and consider a cost function that is also convex and arbitrarily varying. Agents that operate in this environment intend to select actions that are feasible for all times while minimizing the cost's time average. Such action is said optimal and can be computed offline if the cost a... View full abstract»

• ### Verification of State-Based Opacity Using Petri Nets

Publication Year: 2017, Page(s):2823 - 2837
Cited by:  Papers (1)
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A system is said to be opaque if a given secret behavior remains opaque (uncertain) to an intruder who can partially observe system activities. This work addresses the verification of state-based opacity in systems modeled with Petri nets. The secret behavior of a system is defined as a set of states. More precisely, two state-based opacity properties are considered: current-state opacity<... View full abstract»

• ### Approximations of Stochastic Hybrid Systems: A Compositional Approach

Publication Year: 2017, Page(s):2838 - 2853
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In this paper we propose a compositional framework for the construction of approximations of the interconnection of a class of stochastic hybrid systems. As special cases, this class of systems includes both jump linear stochastic systems and linear stochastic hybrid automata. In the proposed framework, an approximation is itself a stochastic hybrid system, which can be used as a replacement of th... View full abstract»

• ### Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks

Publication Year: 2017, Page(s):2854 - 2869
Cited by:  Papers (1)
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We consider distributed optimization over orthogonal collision channels in spatial random access networks. Users are spatially distributed and each user is in the interference range of a few other users. Each user is allowed to transmit over a subset of the shared channels with a certain attempt probability. We study both the non-cooperative and cooperative settings. In the former, the goal of eac... View full abstract»

• ### Stability and Stabilization of Semi-Markov Jump Linear Systems With Exponentially Modulated Periodic Distributions of Sojourn Time

Publication Year: 2017, Page(s):2870 - 2885
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This paper is concerned with a class of discrete-time semi-Markov jump linear systems (S-MJLSs) subject to exponentially modulated periodic (EMP) probability density function (PDF) of sojourn time, and the problems of stability and stabilization are addressed. Setting a relatively large period, the considered systems are capable of approximating the general S-MJLSs (without any requirements on soj... View full abstract»

• ### New Results on Eigenvalue Distribution and Controller Design for Time Delay Systems

Publication Year: 2017, Page(s):2886 - 2901
| | PDF (729 KB) | HTML

This paper considers the eigenvalue distribution of a linear time-invariant (LTI) system with commensurate time delays and its application to proportional-integral-derivative (PID) controller design for a delay plant via dominant eigenvalue assignment. A new result on the root distribution of a quasi-polynomial is first produced by applying part of Pontryagin's conclusions. This result whic... View full abstract»

• ### Robust Kalman Filtering Under Model Perturbations

Publication Year: 2017, Page(s):2902 - 2907
| | PDF (364 KB) | HTML

We consider a family of divergence-based minimax approaches to perform robust filtering. The mismodeling budget, or tolerance, is specified at each time increment of the model. More precisely, all possible model increments belong to a ball which is formed by placing a bound on the Tau-divergence family between the actual and the nominal model increment. Then, the robust filter is obtained by minim... View full abstract»

• ### Stabilization of Nonlinear Time-Varying Systems Through a New Prediction Based Approach

Publication Year: 2017, Page(s):2908 - 2915
Cited by:  Papers (1)
| | PDF (484 KB) | HTML

We propose a prediction based stabilization approach for a general class of nonlinear time-varying systems with pointwise delay in the input. It is based on a recent new prediction strategy, which makes it possible to circumvent the problem of constructing and estimating distributed terms in the expression for the stabilizing control laws. Our result applies in cases where other recent results do ... View full abstract»

## Aims & Scope

In the IEEE Transactions on Automatic Control, the IEEE Control Systems Society publishes high-quality papers on the theory, design, and applications of control engineering.  Two types of contributions are regularly considered

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
P. J. Antsaklis
Dept. Electrical Engineering
University of Notre Dame