Organizers: Dr. Gerasimos Rigatos, Unit of Industrial Automation, Industrial Systems Institute, 26504, Rion Patras, Greece, email: grigat@ieee.org.
Dr. Gennaro Cuccurullo, Department of Industrial Engineering, University of Salerno, 84084, Fisciano, Italy, email: gcuccurullo@unisa.it.
Dr. Masoud Abbaszadeh, Department of Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12065, USA email: masouda@ualberta.ca.tt
Dr. Pierluigi Siano, Department of Management and Innovation Systems, University of Salerno, 84084, Fisciano, Italy, email: psiano@unisa.it.
Dr. Taniya Ghosh, IGIDR, Institute of Development Research, 400065, Mumbai, India
email: taniya.ghosh@gmail.com.
The optimized functioning of complex nonlinear dynamical systems, as for instance robotic, electromotion and electric power systems is based on the ability to solve the associated nonlinear control and estimation problems. Main approaches for the solution of nonlinear control problems are: (i) control with global
linearization methods, (ii) control with approximate linearization methods, (iii) control with Lyapunov stability theory techniques (machine learning-based adaptive control when the dynamic model of the con- trolled is unknown). Main approaches for the solution of nonlinear state estimation problems are: (i)
filtering and observers with global linearization techniques, (ii) filtering and observers with approximate linearization techniques, (iii) state estimation with observers that rely on Lyapunov stability theory. Main objectives in the control of complex nonlinear dynamical systems are to formulate: (i) stability conditions
for the nonlinear control methods, (ii) stability conditions for the nonlinear state estimation methods, (iii) stability conditions for the joint control and state estimation schemes.
The proposed Special Session on Advanced nonlinear control and estimation for complex dynamical systems aims at addressing all aforementioned issues. Topics of interest include but are not limited to:
(a) Nonlinear optimal control, flatness-based control with transformation to canonical forms, multi-loop flatness-based control, Lie algebra-based control, nonlinear model predictive control, sliding-mode control, backstepping control, multi-model optimal feedback control and adaptive control,
(b) Nonlinear Kalman Filtering, Extended and Unscented Kalman Filtering, Particle Filtering, H-infinity Kalman Filtering, dis- tributed nonlinear filtering, sliding-mode observers, and diffeomorphisms-based nonlinear observers.
(c) Applications to robotics, mechatronics, electromotion, electric vehicles, electric power systems, renewable energy systems, industrial processes, aerospace systems, biomedical systems and financial systems.
Prospective authors are requested to submit their articles, until the 30th of June 2026 to:
- Dr. Gerasimos Rigatos, Unit of Industrial Automation, Industrial Systems Institute, 26504, Rion Patras, Greece, email: grigat@ieee.org.
- Dr. Gennaro Cuccurullo, Department of Industrial Engineering, University of Salerno, 84084, Fisciano, Italy, email: gcuccurullo@unisa.it.
- Dr. Masoud Abbaszadeh, Department of Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York, 12065, USA email: masouda@ualberta.ca.tt
- Dr. Pierluigi Siano, Department of Management and Innovation Systems, University of Salerno, 84084, Fisciano, Italy, email: psiano@unisa.it.
- Dr. Taniya Ghosh, IGIDR, Institute of Development Research, 400065, Mumbai, India
email: taniya.ghosh@gmail.com.