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Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones

Kupper, F. (author), Mentink, P. (author), Avramis, N. (author), Meima, N. (author), Lazovik, E. (author), Wilkins, S. (author), Willems, F. (author)

Self-learning energy management is a promising concept, which optimizes real-world system performance by automated, on-line adaptation of control settings. In this work, the potential of self-learning capabilities related to optimization is studied for energy management in Plug-in Hybrid Electric Vehicles (PHEV). These vehicles are of great...

conference paper 2022

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A hybrid-ai approach for competence assessment of automated driving functions

Paardekooper, J.P. (author), Comi, M. (author), Grappiolo, C. (author), Snijders, R. (author), van Vught, W. (author), Beekelaar, R. (author)

An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...

conference paper 2021

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Federated Control of Distributed Multi-Partner Cloud Resources for Adaptive C2 in Disadvantaged Networks

Bastiaansen, H.J.M. (author), Geest, J.V.D. (author), Broek, C.V.D. (author), Kudla, T. (author), Isenor, A. (author), Webb, S. (author), Suri, N. (author), Fogli, M. (author), Canessa, B. (author), Masini, A. (author), Goniacz, R. (author), Sliwa, J. (author)

article 2020

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Adaptive Information Processing and Distribution to Support Command and Control in Situations of Disadvantaged Battlefield Network Connectivity

Bastiaansen, H.J.M. (author), van den Broek, C. (author), Kudla, T. (author), Isenor, A. (author), Webb, S. (author), Suri, N. (author), Masini, A. (author), Bilir, C. (author), Cocelli, M. (author)

Although ever more and powerful information collection, processing, storage, and communication devices are available, disadvantaged battlefield connectivity currently prevents full exploitation of the potentially available information. An infrastructure for adaptive information processing and distribution may improve this situation by providing...

conference paper 2019

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Platoon of SAE Level-2 Automated Vehicles on Public Roads: Setup, Traffic Interactions, and Stability

Knoop, V.L. (author), Wang, M. (author), Wilmink, I. (author), Hoedemaeker, D.M. (author), Maaskant, M. (author), van der Meer, E.J. (author)

An increasing amount of vehicles are equipped with driver assistance systems; many of the vehicles currently on the market can be optionally equipped with adaptive cruise control and lane centering systems. Using both systems at the same time brings the vehicle to SAE level-2 automation. This means a driver does not need to perform longitudinal...

article 2019

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On-line fuel-efficiency optimization of Diesel engines using constrained multivariable extremum-seeking

van der Weijst, R. (author), van Keulen, T. (author), Willems, F.P.T. (author)

Advanced control concepts are required to maximize the fuel-efficiency of Diesel engines and to comply with emission legislation. The aim of this paper is to develop a controller that fully utilizes the fuel-path and air-path hardware, and is adaptive for real-world disturbances. The control design comprises a feedback control system, which uses...

conference paper 2018

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Cooperative adaptive cruise control over unreliable networks: An observer-based approach to increase robustness to packet loss

Acciani, F. (author), Frasca, P. (author), Stoorvogel, A. (author), Semsar-Kazerooni, E. (author), Heijenk, G. (author)

Cooperative Adaptive Cruise Control (CACC) is nowadays a promising technique to increase highway through-put, safety and comfort for vehicles. Enabled by wireless communication, CACC allows a platoon of vehicles to achieve better performance than Adaptive Cruise Control; however, since wireless is employed, problems related to unreliability...

conference paper 2018

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Controller Design for Cooperative Driving with Guaranteed Safe Behavior

Ligthart, J. (author), Semsar-Kazerooni, E. (author), Ploeg, J. (author), Alirezaei, M. (author), Nijmeijer, H. (author)

A shortcoming of many Cooperative Adaptive Cruise Control (CACC) schemes is the lack of a guarantee of safe vehicle behavior in a platoon, i.e., making sure that a vehicle does not collide with its preceding vehicle in case the latter performs a deceleration outside the operational range of the CACC system. To overcome that problem, this paper...

conference paper 2018

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Robust fuel consumption estimation for on-line optimization of diesel engines

Kupper, F. (author), Forrai, A. (author), Indrajuana, A. (author), Weijst, R.V.D. (author), Keulen, T.V. (author), Willems, F.T.P. (author)

Accurate estimation of Brake Specific Fuel Consumption (BSFC) is required to enable on-line optimization of real-world fuel efficiency of diesel engines. This work aims to develop a BSFC estimation method which is accurate enough for an adaptive controller for on-line engine optimization, e.g., using Extremum Seeking. In this paper two different...

article 2018

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Assessment of Automated Driving Systems using real-life scenarios

de Gelder, E. (author), Paardekooper, J.P. (author)

More and more Advanced Driver Assistance Systems (ADAS) are entering the market for improving both safety and comfort by assisting the driver with their driving task. An important aspect in developing future ADAS and Automated Driving Systems (ADS) is testing and validation. Validating the failure rate of an ADS requires so many operational...

conference paper 2017

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Physiological effects of adaptive cruise control behaviour in real driving

Brouwer, A.M. (author), Snelting, A. (author), Jaswa, M. (author), Flascher, O. (author), Krol, L. (author), Zander, T. (author)

We examined physiological responses to behavior of an Adaptive Cruise Control (ACC) system during real driving. ACC is an example of automating a task that used to be performed by the user. In order to preserve the link between the user and an automated system such that they work together optimally, physiological signals reflecting mental state...

conference paper 2017

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Parallel fast-array recursive least squares filters for active noise control with on-line system identification

Berkhoff, A.P. (author), Meijer, H.J. (author), van Ophem, S. (author)

conference paper 2016

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Temporal Performance of Advanced Driver Assistance Systems vis-á-vis Human Driving Behavior in Dense Traffic

Hamberg, R. (author), Hendriks, T. (author), Bijlsma, T. (author)

Advanced Driver Assistance Systems (ADAS) are becoming ubiquitous, and gradually take over the role of human drivers in the vision of the automotive sector. Humans are different from most systems: while in general humans exhibit a much higher error rate when performing specific functions, they are also unmatched in their adaptability, and their...

conference paper 2015

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Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

de Winter, J.C.F. (author), Happee, R. (author), Martens, M.H. (author), Stanton, N.A. (author)

Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers' workload and situation awareness...

article 2014

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Critical headway estimation under uncertainty and non-ideal communication conditions

Kester, L.J.H.M. (author), van Willigen, W. (author), de Jongh, J.F.C.M. (author)

This article proposes a safety check extension to Adaptive Cruise Control systems where the critical headway time is estimated in real-time. This critical headway time estimate enables automated reaction to crisis circumstances such as when a preceding vehicle performs an emergency brake. We discuss a method for critical headway approximation...

conference paper 2014

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Experimental demonstration of a new model-based SCR control strategy for cleaner heavy-duty diesel engines

Willems, F.P.T. (author), Cloudt, R.P.M. (author)

Selective catalytic reduction (SCR) is a promising diesel aftertreatment technology that enables low nitrogen oxides (NOx) tailpipe emissions with relatively low fuel consumption. Future emission legislation is pushing the boundaries for SCR control systems to achieve high NOx conversion within a tailpipe ammonia (NH3) slip constraint, and to...

article 2011

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A decomposition approach to distributed control of dynamic deformable mirrors

Fraanje, P.R. (author), Massioni, P. (author), Verhaegen, M. (author), TNO Industrie en Techniek (author)

Deformable mirrors with spatially invariant dynamic response can be considered as part of the class of decomposable systems. Such systems can be thought of as the interconnection of a number of identical subsystems, and they can be used to model certain classes of large scale systems. We show in this article that the technique allows the design...

article 2010

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A model predictive control approach to design a parameterized adaptive cruise control

Naus, G.J.L. (author), Ploeg, J. (author), van de Molengraft, M.J.G. (author), Heemels, W.P.M.H. (author), Steinbuch, M. (author)

The combination of different desirable characteristics and situation-dependent behavior cause the design of adaptive cruise control (ACC) systems to be time consuming and tedious. This chapter presents a systematic approach for the design and tuning of an ACC, based on model predictive control (MPC). A unique feature of the synthesized ACC is...

conference paper 2010

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Adaptive and real-time optimal control for adaptive optics systems

Doelman, N.J. (author), Fraanje, P.R. (author), Houtzager, I. (author), Verhaegen, M. (author), TNO Industrie en Techniek (author)

An optimal control method to reject turbulence-induced wavefront distortions in an Adaptive Optics system is discussed. Details of a data-driven control approach are presented where the emphasis is put on the estimation of the optimal predictor of the wavefront disturbance. Several algorithms capable of finding the predictor parameters from the...

conference paper 2009

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The effects of deactivation and (re)activation of ACC on driver behaviour analyzed in real traffic

Pauwelussen, J. (author), Minderhoud, M. (author), TNO Defensie en Veiligheid (author)

For the development of a micro-simulation model to estimate the effect of Adaptive Cruise Control (ACC) systems on traffic safety, throughput and environment, data of a Field Operational Test (FOT) was analyzed in which vehicles were equipped with ACC and Lane Departure Warning (LDW) systems. The objective of the research described in this paper...

conference paper 2008