Test Whats new message.
Scheduled Maintenance on Monday 1/13/2025
Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.
Showing 1-25 of 52
Sort By
IEEE Control Systems Letters Editorial Board
Year: 2018 | Volume: 2 | Issue: 4
A Distributed Iterative Algorithm for Multi-Agent MILPs: Finite-Time Feasibility and Performance Characterization
Publication Year: 2018,Page(s):563 - 568
Cited by: Papers (23)
We deal with decision making in a large-scale multi-agent system, where each agent aims at minimizing a local cost function subject to local constraints, and the local decision variables of all agents are coupled through a global constraint. We consider a cooperative framework where the multi-agent decision problem is formulated as a constrained optimization program with the sum of the local costs...Show More
Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers
Publication Year: 2018,Page(s):569 - 574
Cited by: Papers (9)
It is a known fact that not all controllable systems can be asymptotically stabilized by a continuous static feedback. Several approaches have been developed throughout the last decades, including time-varying, dynamical and even discontinuous feedbacks. In the latter case, the sample-and-hold framework is widely used, in which the control input is held constant during sampling periods. Consequent...Show More
Empirical Detection of Time Scales in LTI Systems using Sparse Optimization Techniques
Publication Year: 2018,Page(s):575 - 580
Cited by: Papers (2)
Identification and control of systems with multiple time scales is in general known to be quite challenging than that of single scale systems. The foremost and crucial step in the development of any method for data-driven multiscale analysis is to determine whether the system warrants a multiscale treatment or otherwise. Existing works in the associated literature either assume that this non-trivi...Show More
Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm
Dinesh Krishnamoorthy;Eka Suwartadi;Bjarne Foss;Sigurd Skogestad;Johannes Jäschke
Publication Year: 2018,Page(s):581 - 586
Cited by: Papers (14)
This letter proposes a computationally efficient algorithm for robust multistage scenario model predictive control (MPC). In multistage scenario MPC, the evolution of uncertainty in the prediction horizon is represented via a scenario tree. The resulting large-scale optimization problem can be decomposed into several smaller subproblems where, for example, each subproblem solves a single scenario....Show More
Distributed Kalman Filtering Over Sensor Networks With Unknown Random Link Failures
Stefano Battilotti;Filippo Cacace;Massimiliano d’Angelo;Alfredo Germani
Publication Year: 2018,Page(s):587 - 592
Cited by: Papers (38)
In this letter we consider the distributed consensus-based filtering problem for linear time-invariant systems over sensor networks subject to random link failures when the failure sequence is not known at the receiving side. We assume that the information exchanged, traveling along the channel, is corrupted by a noise and hence, it is no more possible to discriminate with certainty if a link fail...Show More
Marketing Resource Allocation in Duopolies Over Social Networks
Vineeth S. Varma;Irinel-Constantin Morărescu;Samson Lasaulce;Samuel Martin
Publication Year: 2018,Page(s):593 - 598
Cited by: Papers (9)
One of the key features of this letter is that the agents' opinion of a social network is assumed to be not only influenced by the other agents but also by two marketers in competition. One of our contributions is to propose a pragmatic game-theoretical formulation of the problem and to conduct the complete corresponding equilibrium analysis (existence, uniqueness, dynamic characterization, and de...Show More
A Global Optimal Solution to the Eco-Driving Problem
Publication Year: 2018,Page(s):599 - 604
Cited by: Papers (52)
Eco-driving aims at minimizing the energy consumption of a vehicle by adjusting the vehicle’s velocity. This can be formulated as an optimal control problem and this letter provides a detailed view on the global optimal solution to this problem. A method to reformulate and discretize the problem avoiding the introduction of additional nonconvex terms is presented. Furthermore, physically realistic...Show More
New Haar-Based Algorithms for Stability Analysis of LPV Systems
Patricia T. Bandeira;Paulo C. Pellanda;Leonardo O. de Araújo
Publication Year: 2018,Page(s):605 - 610
Cited by: Papers (5)
New gridding-based algorithms for stability analysis of linear parameter-varying systems with general parameter dependencies are introduced. Recent results in Haar-based Lyapunov stability analysis allow to treat non-convex parametric domains and a large class of system parameter functions by using computationally implementable algorithms to solve the original infinite-dimensional and infinitely c...Show More
Sample-Based SMPC for Tracking Control of Fixed-Wing UAV
Martina Mammarella;Elisa Capello;Fabrizio Dabbene;Giorgio Guglieri
Publication Year: 2018,Page(s):611 - 616
Cited by: Papers (21)
In this letter, a guidance and tracking control strategy for fixed-wing unmanned aerial vehicle autopilots is presented. The proposed control exploits recent results on sample-based stochastic model predictive control, which allows coping in a computationally efficient way with both parametric uncertainty and additive random noise. Different application scenarios are discussed, and the implementab...Show More
A Class of Hybrid Velocity Observers for Angular Measurements With Jumps
Publication Year: 2018,Page(s):617 - 622
Cited by: Papers (4)
We propose a hybrid nonlinear high-gain observer to estimate the speed of rotary systems equipped with potentiometer-based, capacitive or hall-effect rotary sensors or providing angular measurements evolving in S1, exhibiting unpredictable jumps of 2π. A hybrid measurement model is proposed, based on which a hybrid high-gain observer is synthesized, which does not require the knowledge of the jump...Show More
Visual Area Coverage by Heterogeneous Aerial Agents Under Imprecise Localization
Publication Year: 2018,Page(s):623 - 628
Cited by: Papers (14)
A control scheme for the coverage of a convex region by a team of mobile aerial agents (MAAs) under positioning uncertainty is presented in this letter. Each MAA is outfitted with a downwards facing camera, the field of view of which differs among agents, resulting in a sensed area which depends on the MAA's altitude and the view angle of its camera. Additionally, the MAAs' projections on the grou...Show More
On the Efficiency of Nash Equilibria in Aggregative Charging Games
Publication Year: 2018,Page(s):629 - 634
Cited by: Papers (3)
Several works have recently suggested to model the problem of coordinating the charging needs of a fleet of electric vehicles as a game, and have proposed distributed algorithms to coordinate the vehicles towards a Nash equilibrium of such game. However, Nash equilibria have been shown to posses desirable system-level properties only in simplified cases. In this letter, we use the concept of price...Show More
Trajectory Tracking on Complex Networks With Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control
Publication Year: 2018,Page(s):635 - 640
Cited by: Papers (9)
In this letter, a novel control approach for complex networks with non-identical nodes is developed. This approach is based on inverse optimal pinning control to track a desired trajectory. The effectiveness of the control design is illustrated via simulations on a network with nodes being different chaotic systems.Show More
Solving Stochastic LQR Problems by Polynomial Chaos
Publication Year: 2018,Page(s):641 - 646
Cited by: Papers (3)
We consider the infinite dimensional stochastic linear quadratic optimal control problem for the infinite horizon case. We provide a numerical framework for solving this problem using a polynomial chaos expansion approach. By applying the method of chaos expansions to the state equation, we obtain a system of deterministic partial differential equations in terms of the coefficients of the state an...Show More
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models
Publication Year: 2018,Page(s):647 - 652
Cited by: Papers (2)
In this letter, we present an extension of the class of uncertain-input models to handle cases of measurements with outliers. The general uncertain-input model framework allows us to treat system identification problems in which a linear system, represented by its impulse response, is subject to an input about which we have partial information. Both the impulse response and the input are modeled a...Show More
Synchronization of Networks of Piecewise-Smooth Systems
Marco Coraggio;Pietro DeLellis;S. John Hogan;Mario di Bernardo
Publication Year: 2018,Page(s):653 - 658
Cited by: Papers (17)
We study convergence in networks of piecewise-smooth (PWS) systems that commonly arise in applications to model dynamical systems whose evolution is affected by macroscopic events such as switches and impacts. Existing approaches were typically oriented toward guaranteeing global bounded synchronizability, local stability of the synchronization manifold, or achieving synchronization by exerting a ...Show More
Synchronization of Networks of Piecewise-Smooth Systems
Marco Coraggio;Pietro DeLellis;S. John Hogan;Mario di Bernardo
Year: 2018 | Volume: 2 | Issue: 4
Identification of Sparse Reciprocal Graphical Models
Publication Year: 2018,Page(s):659 - 664
Cited by: Papers (26)
In this letter we propose an identification procedure of a sparse graphical model associated to a Gaussian stationary stochastic process. The identification paradigm exploits the approximation of autoregressive (AR) processes through reciprocal processes in order to improve the robustness of the identification algorithm, especially when the order of the AR process becomes large. We show that the p...Show More
Control-Theoretical and Topological Analysis of Covariance Intersection Based Distributed Kalman Filter
Publication Year: 2018,Page(s):665 - 670
Cited by: Papers (10)
Covariance intersection (CI) extends Kalman filter (KF) in distributed estimation, since it can fuse Gaussian estimates in the absence of the estimates' correlations. However, even with the preliminary success on the integration of CI and KF, existing discussion limited in global behavior is unable to directly deal with a system with a mixture of unbounded-covariance and bounded-covariance agents....Show More
Modeling Hydraulic Networks for Control: How to Deal With Consumption?
Publication Year: 2018,Page(s):671 - 676
Cited by: Papers (5)
With the focus set on water distribution networks, dynamics typically play a subordinate role in the modeling procedure. This letter intends to draw a different picture, where flow dynamics would allow engineers to gain more physical insight while offering them more sophisticated tools for manipulation. The handling of consumption values is crucial in this regard as it is the major drive for the f...Show More
$\mathcal{H}_\infty$ -Optimal Parallel Feedforward Control Using Minimum Gain
Publication Year: 2018,Page(s):677 - 682
Cited by: Papers (5)
This letter presents static and dynamic parallel feedforward controller synthesis methods that render a linear time-invariant system minimum phase by augmenting its output. The system output is perturbed the least amount possible by minimizing the gain of the parallel feedforward controller while ensuring the augmented system is minimum phase. This is done by minimizing the maximum singular value ...Show More
Identifiability of Undirected Dynamical Networks: A Graph-Theoretic Approach
Publication Year: 2018,Page(s):683 - 688
Cited by: Papers (16)
This letter deals with identifiability of undirected dynamical networks with single-integrator node dynamics. We assume that the graph structure of such networks is known, and aim to find graph-theoretic conditions under which the state matrix of the network can be uniquely identified. As our main contribution, we present a graph coloring condition that ensures identifiability of the network's sta...Show More
Graph Algorithms for Topology Identification Using Power Grid Probing
Publication Year: 2018,Page(s):689 - 694
Cited by: Papers (67)
To perform any meaningful optimization task, power distribution operators need to know the topology and line impedances of their electric networks. Nevertheless, distribution grids currently lack a comprehensive metering infrastructure. Although smart inverters are widely used for control purposes, they have been recently advocated as the means for an active data acquisition paradigm: reading the ...Show More
Graph Algorithms for Topology Identification Using Power Grid Probing
Year: 2018 | Volume: 2 | Issue: 4
On the Existence of Stable Real nth-Order Transfer Functions With Desired Phase at n Frequencies
Publication Year: 2018,Page(s):695 - 700
Cited by: Papers (2)
We consider the following question: Given n distinct non-negative frequencies {ω1, ω2, ... ωn}, does there always exist a stable real nth-order transfer function (TF) with a desired phase at these frequencies? For n even, we prove that the answer is yes and propose a numerical algorithm for obtaining such TFs. For n > 1 odd, we conjecture that the answer is no. These results are useful for designi...Show More
Contact Information
Contact Information
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.