A historical perspective of adaptive control and learning

AM Annaswamy, AL Fradkov - Annual Reviews in Control, 2021 - Elsevier
This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

A review on control system architecture of a SI engine management system

B Ashok, SD Ashok, CR Kumar - Annual Reviews in Control, 2016 - Elsevier
Engine management systems (EMS) has become an essential component of a spark ignition
(SI) engine in order to achieve high performance; low fuel consumption and low exhaust …

Adaptive finite-time fuzzy control of nonlinear active suspension systems with input delay

J Na, Y Huang, X Wu, SF Su, G Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a new adaptive fuzzy control scheme for active suspension systems
subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based …

Bioinspired nonlinear dynamics-based adaptive neural network control for vehicle suspension systems with uncertain/unknown dynamics and input delay

M Zhang, X Jing, G Wang - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
A unique adaptive neural network control scheme is proposed for active suspension
systems by employing bioinspired nonlinear dynamics, so as to address several critical …

Predictor-based control for an uncertain Euler–Lagrange system with input delay

N Sharma, S Bhasin, Q Wang, WE Dixon - Automatica, 2011 - Elsevier
Controlling a nonlinear system with actuator delay is a challenging problem because of the
need to develop some form of prediction of the nonlinear dynamics. Developing a predictor …

Predictor-based compensation for electromechanical delay during neuromuscular electrical stimulation

N Sharma, CM Gregory… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Electromechanical delay (EMD) is a biological artifact that arises due to a time lag between
electrical excitation and tension development in a muscle. EMD is known to cause degraded …

Vehicle fuel consumption and emission modelling: an in-depth literature review

WF Faris, HA Rakha, RI Kafafy… - … Journal of Vehicle …, 2011 - inderscienceonline.com
Modelling of vehicle fuel consumption and emissions has emerged as an effective tool to
help develop and assess vehicle technologies and to help predict vehicle fuel consumption …

Spark ignition engine fuel-to-air ratio control: An adaptive control approach

Y Yildiz, AM Annaswamy, D Yanakiev… - Control Engineering …, 2010 - Elsevier
This paper presents the control of spark ignition (SI) internal combustion (IC) engine fuel-to-
air ratio (FAR) using an adaptive control method of time-delay systems. The objective is to …

Distributed output feedback consensus control of networked homogeneous systems with large unknown actuator and sensor delays

R Huang, Z Ding, Z Cao - Automatica, 2020 - Elsevier
This paper studies observer-based output feedback consensus control of networked
homogeneous systems in the presence of unknown bounded actuator and sensor delays. A …

[HTML][HTML] Deep reinforcement learning implementation on IC engine idle speed control

I Omran, A Mostafa, A Seddik, M Ali, M Hussein… - Ain Shams Engineering …, 2024 - Elsevier
Efficient control of automotive engine idle speed is crucial for achieving better fuel economy
and smoother engine running. This paper presents a comparison between proportional …