Imperial College London

Prof David Angeli

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics



+44 (0)20 7594 6283d.angeli Website




1107CElectrical EngineeringSouth Kensington Campus





Dr. Angeli's research focus is on stability, performance and control of nonlinear systems. His research interests range in the following areas:

  • Economic Model Predictive Control
  • Stability of Nonlinear Systems
  • Chemical Reaction Networks Theory
  • Systems Biology
  • Control solutions for Smart Grids 

Economic Model Predictive Control.

This is an emerging field in MPC, aiming at allowing a simultaneous treatment of economic planning and decision making with real-time control. Algorithms, analysis and evaluation tools for general nonlinear plants, computational solutions are the main focus of this line of research.

Stability of Nonlinear Systems.

Dr. Angeli has contributed to the definition of the Input-to-State Stability framework for nonlinear systems analysis. His current research is focused on extending the approach to more general nonlinear systems, including multistable systems, oscillators, general systems on manifolds with multiple attractors.

Chemical Reaction Networks Theory.

This area of dynamical systems is concerned with the qualitative behaviour of ODE models of networks of chemical interactions. Dr. Angeli's research focuses on Global Stability, Lyapunov functions and origin of Hopf's bifurcations.

Systems Biology.

Dr. Angeli collaborates with the leading US control expert in the field of systems biology (Prof. E. Sontag) to the development of theoretic tools for the analysis and modular decomposition of models arising in molecular biology. The research so far has focused on monotone control systems and the dynamics of their interconnections.

Control Solutions for Smart Grids.

The future development of Smart Grids will require innovative control solutions for managing power distribution and pricing in order to accomodate a growing penetration of renewable generation. The focus of this line of research is on distributed solutions for Demand-side management and Energy Storage.




Dr Simon Tindemans, University of Delft, 2018

Dr. Sabato Manfredi, University of Naples, "Federico II", Networked systems and consensus, 2012 - 2013

Prof. Hiroshi Ito, Nagoya University, Dept. of Applied Physics, Stability of Nonlinear Systems, 2012

Prof. Frank Allgower, University of Stuttgart, Institute for Systems Theory and Automatic Control, Economic Model Predictive Control, 2012

Dr. Denis Efimov, INRIA, Lille, France, Stability of Nonlinear Systems, 2012

Prof. Laurent Praly, MINES Paristech, Paris, Centre Automatique et Systemes, Stability of Nonlinear Systems, 2010

Prof. James Rawlings, University of Wisconsin, Madison, College of Engineering, Economic Model Predictive Control, 2010

Dr. Murad Banaji, University of Portsmouth, Dept. of Mathematics, Chemical Reaction Networks Theory, 2010

Prof. Emeritus Morris W. Hirsch, University of California Berkeley, Dept. of Mathematics, Monotone dynamical systems, 2009 - 2009

Dr. Antoine Chaillet, SUPELEC, Gif-sur-Yvette, France, Stability of Nonlinear Systems, 2008

Dr. Pierre-Alexandre Bliman, INRIA de Rocquencourt (Paris), Consensus dynamics, 2007 - 2009

Dr. Patrick De Leenheer, University of Florida (Gainesville), Dept. of Mathematics, Chemical Reaction Networks, 2007 - 2011

Prof. Russell Johnson, University of Florence, Dept. Systems and Computer Science, Dynamical Systems, 2006 - 2012

Prof Dragan Nesic, University of Melbourne, 2000

Prof Daniel Liberzon, University of Illinois, Urbana Champaign, 2000

Prof. Alessandro Casavola, Universita' della Calabria, Dip. Elettronica Informatica Sistemistica, Model Predictive Control, 1999 - 2008

Prof Yuan Wang, Florida Atlantic University, 1999

Prof. Eduardo Sontag, Rutgers University, Dept. of Mathematics, Chemical Networks, Stability of nonlinear systems, monotone systems, 1998

Dr Raphael Jungers, UCLouvain

Dr Matthias Mueller, University of Stuttgart

Guest Lectures

Plenary MICNON2018: "From stabilizing to economic NMPC: Three decades of receding horizon control theory", Guadalajara, Mexico, 2018

Plenary talk: "Input-to-State Stability of systems with Complex Dynamics"Conference on Stability and Oscillations of Nonlinear Control Systems, 2018, Russian Academy of Sciences, Trapeznikov Institute, Moscow, Russia, 2018

Semiplenary talk: European Control Conference 2016, Input-to-State Stability for Complex Dynamics: From Global to Almost Global ... and Back, Aalborg, Denmark, 2016

Plenary Talk: Theoretical advances on Economic Model Predictive Control with time-varying costs, IFAC Workshop on Nonlinear Model Predictive Control, Seville, Spain, 2015

Plenary talk: Open problems in Chemical Reaction Networks: how structure affects dynamics, 7th IFAC Symposium on Robust Control Design, Aalborg, Denmark, 2012

Semiplenary talk: Receding Horizon Cost Optimization and Control for Nonlinear Plants, 8th IFAC Symposium on Nonlinear Control Systems, Bologna, Italy, 2010

Research Staff

De Paola,A




Research Student Supervision

Antonio De Paola,, Distributed solutions for Frequency Regulation in Power Grids

Dong,Z, Robust Economic Model Predictive Control

Evans,M, Characterising and maximising aggregate flexibility of heterogeneous energy storage units

Forni,P, The Input-to-State Stability framework for Multistable Systems on Manifolds

Jaehwa Lee,, Distributed Economic Model Predictive Control

Muhammad Ali Al-Rhadawi,, Structural Stability of Chemical Reaction Networks

Pasquini,M, On the analysis of hybrid models of genetic regulatory networks via a Lyapunov approach