On the Design of Integral Multiplex Control Protocols for Nonlinear Network Systems with Delays

We consider the problem of designing control protocols for possibly nonlinear networks with delays that not only allow the fulfilment of some desired behaviour but also simultaneously guarantee the rejection of polynomial disturbances and the non-amplification of other classes of disturbances across the network. To address this problem, we propose the systematic use of multiplex architectures to deliver integral control protocols ensuring the desired disturbance rejection and non-amplification properties. We then present a set of sufficient conditions to assess these properties and hence to design the multiplex architecture for both leaderless and leader-follower networks with time-varying references consisting of possibly heterogeneous nonlinearly coupled agents affected by communication delays. The effectiveness of our conditions, which are also turned into an optimisation problem allowing protocol design, is illustrated via both in-silico and experimental validations with a real hardware set-up.

[1]  F. Bullo,et al.  Contraction Analysis of Hopfield Neural Networks with Hebbian Learning , 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

[2]  V. Andrieu,et al.  Sufficient Conditions for Global Integral Action via Incremental Forwarding for Input-Affine Nonlinear Systems , 2022, IEEE Transactions on Automatic Control.

[3]  G. Russo,et al.  On the design of multiplex control to reject disturbances in nonlinear network systems affected by heterogeneous delays , 2022, 2023 American Control Conference (ACC).

[4]  Bart Besselink,et al.  On Time Headway Selection in Platoons Under the MPF Topology in the Presence of Communication Delays , 2022, IEEE Transactions on Intelligent Transportation Systems.

[5]  R. Sipahi,et al.  Consensus Stability of a Large-Scale Robotic Network Under Input and Transmission Delays , 2022, IEEE Transactions on Control of Network Systems.

[6]  F. Bullo,et al.  Minimum Effort Decentralized Control Design for Contracting Network Systems , 2022, IEEE Control Systems Letters.

[7]  G. Russo,et al.  On the design of scalable networks rejecting first order disturbances , 2022, IFAC-PapersOnLine.

[8]  J. Slotine,et al.  Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview , 2021, Annu. Rev. Control..

[9]  Francesco Bullo,et al.  Robust Implicit Networks via Non-Euclidean Contractions , 2021, NeurIPS.

[10]  Giovanni Russo,et al.  Matrix measures, stability and contraction theory for dynamical systems on time scales , 2020, Discrete & Continuous Dynamical Systems - B.

[11]  R. Middleton,et al.  Scalability in Nonlinear Network Systems Affected by Delays and Disturbances , 2020, IEEE Transactions on Control of Network Systems.

[12]  Maria Domenica Di Benedetto,et al.  String Stability of a Vehicular Platoon With the Use of Macroscopic Information , 2020, IEEE Transactions on Intelligent Transportation Systems.

[13]  Bart Besselink,et al.  Scalable robustness of interconnected systems subject to structural changes , 2020, ArXiv.

[14]  John W. Simpson-Porco,et al.  Analysis and Synthesis of Low-Gain Integral Controllers for Nonlinear Systems , 2020, IEEE Transactions on Automatic Control.

[15]  Eduardo L. Pasiliao,et al.  Formation Control With Multiplex Information Networks , 2020, IEEE Transactions on Control Systems Technology.

[16]  Guilherme F. Silva,et al.  String stable integral control design for vehicle platoons with disturbances , 2020, Autom..

[17]  Siddharth Mayya,et al.  The Robotarium: Globally Impactful Opportunities, Challenges, and Lessons Learned in Remote-Access, Distributed Control of Multirobot Systems , 2020, IEEE Control Systems.

[18]  Ian R. Manchester,et al.  Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability , 2019, L4DC.

[19]  Shuzhi Sam Ge,et al.  Multilayer formation control of multi-agent systems , 2019, Autom..

[20]  Robert Shorten,et al.  On L∞ string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems , 2019, Autom..

[21]  Frank L. Lewis,et al.  Robust formation tracking control for multiple quadrotors under aggressive maneuvers , 2019, Autom..

[22]  Shuzhi Sam Ge,et al.  Vision-Based Leader–Follower Formation Control of Multiagents With Visibility Constraints , 2019, IEEE Transactions on Control Systems Technology.

[23]  Ian R. Manchester,et al.  Distributed Nonlinear Control Design Using Separable Control Contraction Metrics , 2018, IEEE Transactions on Control of Network Systems.

[24]  Bart Besselink,et al.  Scalable Input-to-State Stability for Performance Analysis of Large-Scale Networks , 2018, IEEE Control Systems Letters.

[25]  Giovanni Russo,et al.  On the Design of Nonlinear Distributed Control Protocols for Platooning Systems , 2017, IEEE Control Systems Letters.

[26]  Domitilla Del Vecchio,et al.  Realizing “integral control” in living cells: How to overcome leaky integration due to dilution? , 2017, bioRxiv.

[27]  Karl Henrik Johansson,et al.  String Stability and a Delay-Based Spacing Policy for Vehicle Platoons Subject to Disturbances , 2017, IEEE Transactions on Automatic Control.

[28]  Frank Allgöwer,et al.  Output synchronization of linear multi-agent systems under constant disturbances via distributed integral action , 2015, 2015 American Control Conference (ACC).

[29]  Mario di Bernardo,et al.  Multiplex PI control for consensus in networks of heterogeneous linear agents , 2015, Autom..

[30]  Mario di Bernardo,et al.  Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays , 2015, IEEE Transactions on Intelligent Transportation Systems.

[31]  Richard H. Middleton,et al.  Passivity-based control for multi-vehicle systems subject to string constraints , 2014, Autom..

[32]  Zahra Aminzarey,et al.  Contraction methods for nonlinear systems: A brief introduction and some open problems , 2014, 53rd IEEE Conference on Decision and Control.

[33]  Florian Dörfler,et al.  Synchronization in complex networks of phase oscillators: A survey , 2014, Autom..

[34]  Siddharth Sridhar,et al.  Model-Based Attack Detection and Mitigation for Automatic Generation Control , 2014, IEEE Transactions on Smart Grid.

[35]  Karl Henrik Johansson,et al.  Distributed Control of Networked Dynamical Systems: Static Feedback, Integral Action and Consensus , 2013, IEEE Transactions on Automatic Control.

[36]  A. Arenas,et al.  Mathematical Formulation of Multilayer Networks , 2013, 1307.4977.

[37]  Liang Liu,et al.  A Homogeneous Domination Approach to State Feedback of Stochastic High-Order Nonlinear Systems With Time-Varying Delay , 2013, IEEE Transactions on Automatic Control.

[38]  Zengqiang Chen,et al.  Leader-following formation control for second-order multiagent systems with time-varying delay and nonlinear dynamics , 2013 .

[39]  Ali Saberi,et al.  Consensus in the network with uniform constant communication delay , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[40]  Hyungbo Shim,et al.  Rejection of polynomial-in-time disturbances via disturbance observer with guaranteed robust stability , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[41]  Conrado J. Pérez Vicente,et al.  Diffusion dynamics on multiplex networks , 2012, Physical review letters.

[42]  Dragoslav D. Šiljak,et al.  Decentralized control of complex systems , 2012 .

[43]  Kostas J. Kyriakopoulos,et al.  Switching control approach for the robust practical stabilization of a unicycle-like marine vehicle under non-vanishing perturbations , 2011, 2011 IEEE International Conference on Robotics and Automation.

[44]  Mario di Bernardo,et al.  Stability of networked systems: A multi-scale approach using contraction , 2010, 49th IEEE Conference on Decision and Control (CDC).

[45]  Kyung-Soo Kim,et al.  Disturbance Observer for Estimating Higher Order Disturbances in Time Series Expansion , 2010, IEEE Transactions on Automatic Control.

[46]  Jukka-Pekka Onnela,et al.  Community Structure in Time-Dependent, Multiscale, and Multiplex Networks , 2009, Science.

[47]  Mario di Bernardo,et al.  Global Entrainment of Transcriptional Systems to Periodic Inputs , 2009, PLoS Comput. Biol..

[48]  Liping Wen,et al.  Generalized Halanay inequalities for dissipativity of Volterra functional differential equations , 2008 .

[49]  Peng Yang,et al.  Stability and Convergence Properties of Dynamic Average Consensus Estimators , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[50]  Jean-Jacques E. Slotine,et al.  Contraction analysis of time-delayed communications and group cooperation , 2006, IEEE Transactions on Automatic Control.

[51]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[52]  Vijay Kumar,et al.  Leader-to-formation stability , 2004, IEEE Transactions on Robotics and Automation.

[53]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[54]  Randal W. Beard,et al.  A decentralized approach to formation maneuvers , 2003, IEEE Trans. Robotics Autom..

[55]  George J. Pappas,et al.  Input-to-state stability on formation graphs , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[56]  K. Hedrick,et al.  Mesh stability of look-ahead interconnected systems , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[57]  Peter J Seiler,et al.  Preliminary Investigation of Mesh Stability for Linear Systems , 1999, Dynamic Systems and Control.

[58]  Jean-Jacques E. Slotine,et al.  On Contraction Analysis for Non-linear Systems , 1998, Autom..

[59]  J. Hedrick,et al.  String stability of interconnected systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[60]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[61]  C. Desoer,et al.  The measure of a matrix as a tool to analyze computer algorithms for circuit analysis , 1972 .

[62]  Maria M. Seron,et al.  String Stability in Microgrids Using Frequency Controlled Inverter Chains , 2022, IEEE Control Systems Letters.

[63]  Li Li,et al.  String stability for vehicular platoon control: Definitions and analysis methods , 2019, Annu. Rev. Control..

[64]  María M. Seron,et al.  From vehicular platoons to general networked systems: String stability and related concepts , 2017, Annu. Rev. Control..

[65]  Mario di Bernardo,et al.  Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory , 2016 .

[66]  Zhengqiu Zhang,et al.  Global asymptotic stability for a class of complex-valued Cohen-Grossberg neural networks with time delays , 2016, Neurocomputing.

[67]  Nathan van de Wouw,et al.  Lp String Stability of Cascaded Systems: Application to Vehicle Platooning , 2014, IEEE Transactions on Control Systems Technology.

[68]  Richard H. Middleton,et al.  Leader tracking in homogeneous vehicle platoons with broadcast delays , 2014, Autom..

[69]  James Lam,et al.  A new delay system approach to network-based control , 2008, Autom..

[70]  Analog Vlsi,et al.  On the Design of , 2000 .