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Xin, Jianbin (author), Wu, Xuwen (author), D'Ariano, Andrea (author), Negenborn, R.R. (author), Zhang, Fangfang (author)Most of the existing path planning methods of automated guided vehicles (AGVs) are static. This paper proposes a new methodology for the path planning of a fleet of AGVs to improve the flexibility, robustness, and scalability of the AGV system. We mathematically describe the transport process as a dynamical system using an ad hoc mixed...journal article 2023
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van der Werf, Job (author), Kapelan, Z. (author), Langeveld, J.G. (author)Model Predictive Control (MPC) of Urban Drainage Systems (UDS) has been established as a cost-effective method to reduce pollution. However, the operation of large UDS (containing over 20 actuators) can only be optimized by oversimplifying the UDS dynamics, potentially leading to a decrease in performance and reduction in users' trust, thus...journal article 2023
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Chadha, Akhil (author), Jain, V. (author), Lazcano, Andrea Michelle Rios (author), Shyrokau, B. (author)Driving simulators have been used in the automotive industry for many years because of their ability to perform tests in a safe, reproducible and controlled immersive virtual environment. The improved performance of the simulator and its ability to recreate in-vehicle experience for the user is established through motion cueing algorithms ...conference paper 2023
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Larsen, R.B. (author)Container transport is an essential part of the well-functioning, highly specialized, and global production chains society currently relies on. To improve the utilization of resources, it is important to ensure all processes are as efficient as possible. Synchromodal transport is a recent transport paradigm which seeks to increase the efficiency...doctoral thesis 2022
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Storani, Facundo (author), Di Pace, Roberta (author), De Schutter, B.H.K. (author)The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the...journal article 2022
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Zheng, Y. (author), Shyrokau, B. (author), Keviczky, T. (author), Sakka, Monzer Al (author), Dhaens, Miguel (author)The benefits of automated driving can only be fully realized if the occupants are protected from motion sickness. Active suspensions hold the potential to raise the comfort level in automated passenger vehicles by enabling new functionalities in chassis control. One example is to actively lean the vehicle body toward the center of the corner...journal article 2022
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Pour, Fatemeh Karimi (author), Duviella, Eric (author), Segovia Castillo, P. (author)Model predictive control (MPC) has been widely employed to control a large variety of water systems, such as dams, irrigation canals, inland waterways, drinking water networks and wastewater treatment plants. Its predictive capabilities and the possibility to incorporate constraints make MPC well suited to address several, and sometimes...journal article 2022
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Scarabaggio, P. (author), Grammatico, S. (author), Carli, Raffaele (author), Dotoli, Mariagrazia (author)In this article, we propose a distributed demand-side management (DSM) approach for smart grids taking into account uncertainty in wind power forecasting. The smart grid model comprehends traditional users as well as active users (prosumers). Through a rolling-horizon approach, prosumers participate in a DSM program, aiming at minimizing...journal article 2022
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Pour, Fatemeh Karimi (author), Segovia Castillo, P. (author), Etienne, Lucien (author), Duviella, Eric (author)This paper proposes a combined control and state estimation strategy for inland waterways, aiming at simultaneously attaining the optimal water level management and maximizing hydroelectricity generation. The latter can be realized by turbines installed in canal locks that harness the energy generated during lock filling and draining...journal article 2022
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Ding, J. (author), Han, Linyan (author), Ge, Ligang (author), Liu, Yizhang (author), Pang, Jianxin (author)Robust locomotion is a challenging task for humanoid robots, especially when considering dynamic disturbances. This article proposes a disturbance observer-based cascaded model predictive control (MPC) approach for bipedal locomotion, with the capability of exploiting ankle, stepping, hip and height variation strategies. Specifically, based...journal article 2022
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Shi, W. (author), Dong, J. (author), Soeiro, Thiago B. (author), Deng, Junjun (author), Riekerk, C. (author), Bauer, P. (author)Resonant circuits are commonly used in inductive power transfer (IPT) systems for the charging of electric vehicles because of the high power efficiency. Transient behaviors of the resonant circuits, which play a significant role in the design and analysis of IPT systems, are cumbersome to model analytically because of the high-order. This...journal article 2022
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Antonopoulos, S. (author), Visser, K. (author), Kalikatzarakis, Miltiadis (author), Reppa, V. (author)This paper proposes an advanced shipboard energy management strategy (EMS) based on model predictive control (MPC). This EMS aims to reduce mission-scale fuel consumption of ship hybrid power plants, taking into account constraints introduced by the shipboard battery system. Such constraints are present due to the boundaries on the battery...journal article 2021
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Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Nedic, Angelia (author)In this paper, we propose a distributed model predictive control (MPC) scheme for economic dispatch of energy systems with a large number of active components. The scheme uses a distributed optimization algorithm that works over random communication networks and asynchronous updates, implying the resiliency of the proposed scheme with respect...journal article 2021
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Nguyen, Hoa Minh (author), Rueda, José L. (author), Lekić, A. (author), Pham, Hoan Van (author)The paper presents an approach for online centralized control in active distribution networks. It combines a proportional integral (PI) control unit with a corrective control unit (CCU), based on the principle of Model Predictive Control (MPC). The proposed controller is designed to accommodate the increasing penetration of distributed...journal article 2021
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Nasiri, Ali (author), Bayat, Farhad (author), Mobayen, Saleh (author), Hassan HosseinNia, S. (author)An accurate understanding of the output power functionality in gas turbines concerning the fuel, inlet valve status and other parameters can provide a general overview of the turbine's performance. In this study, the problem of practical power regulation in gas turbines is investigated in the simultaneous presence of actuator constraints,...journal article 2021
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van Pampus, M.J. (author), Haseltalab, A. (author), Garofano, V. (author), Reppa, V. (author), Deinema, Y.H. (author), Negenborn, R.R. (author)Formation control of autonomous surface vessels (ASVs) has been studied extensively over the last few years since it offers promising advantages. In this paper, two control methods for distributed leader-follower formation control are proposed: A Nonlinear Model Predictive Control (MPC) method and an MPC method using Feedback Linearization. One...conference paper 2021
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Mulders, S.P. (author)In the last decades, tremendous efforts have been put in advancements of wind turbine technology by scientific research and industrial developments. One of the focal areas has been the upscaling of turbines to increase power capacity. However, by enlarging turbine sizes, the square-cube law dictates rising costs per unit of power capacity. To...doctoral thesis 2020
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Pippia, T.M. (author)Energy systems influence many aspects of society, from the residential sector to the commercial one. Improving the performance and efficiency of energy systems and guaranteeing their stability is a fundamental task of control engineers. In this regard, this thesis presents modeling and control solutions for energy systems, with a focus on both...doctoral thesis 2020
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van der Ploeg, J.R. (author), Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)Despite gaining popularity, the use of Motion Cueing Algorithms (MCAs) based on Model Predictive Control (MPC) remains challenging due to the required tuning of a large number of cost function parameters. This paper investigates the effects of two critical MPC cost function parameters, the lateral specific force and roll rate error weights (Way...conference paper 2020
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Cleij, D. (author), Pool, D.M. (author), Mulder, Max (author), Bülthoff, Heinrich H. (author)In this paper the potential of Motion Incongruence Rating (MIR) models for the optimization of Motion Cueing Algorithms (MCAs) is investigated. In a human-in-the-loop simulator experiment, two optimization-based MCAs are compared for a roundabout scenario simulated on a medium-stroke hexapod simulator. The first MCA uses standard cueing error...conference paper 2020