Abdelmoudjib Benterki, Vincent Judalet, C. Maaoui, M. Boukhnifer
{"title":"Multi-Model and Learning-Based Framework for Real-Time Trajectory Prediction","authors":"Abdelmoudjib Benterki, Vincent Judalet, C. Maaoui, M. Boukhnifer","doi":"10.1109/MED48518.2020.9183216","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183216","url":null,"abstract":"Accurate and real-time trajectory prediction of traffic participants is important in autonomous driving systems, especially for decision making and risk assessment. Existing models such as physics-based and maneuver-based models are mainly used for short-term prediction. Deep-learning-based methods have been applied as novel alternatives for trajectory prediction. This problem can be viewed as a sequence generation task, where the future trajectory of vehicles is predicted based on their past positions. Following the recent success of Recurrent Neural Network (RNN) models for sequence prediction tasks, especially Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), in this paper an approach that combines LSTM for driving sequences classification and GRU for trajectory prediction is proposed. The obtained experimental results show the effectiveness of the proposed approach.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115539069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Single Filter Lead Vehicle Distance and Velocity Estimation with Multiple Hypothesis Testing","authors":"P. Bauer, Antal Hiba, Á. Zarándy","doi":"10.1109/MED48518.2020.9183049","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183049","url":null,"abstract":"This paper presents a monocular camera-based lead vehicle distance and velocity estimation algorithm for automotive application. With an initial guess of real width of the lead vehicle, a Kalman Filter gives estimates for relative distance, velocity and acceleration. The still unknown scale factor to the real size is then statistically estimated from multiple hypothesis using vertical triangulation measurements. Camera pitching motion effects are compensated through the estimation of the vanishing point. The real relative distance, velocity and acceleration can be obtained with the estimated scale factor. The developed method is evaluated in simulations considering the Euro NCAP forward collision warning and emergency braking test procedures, the braking dynamics of vehicles, multiple lead vehicle sizes, periodic camera pitching disturbance, pixelization and vanishing point estimation errors and a wide range of velocities from 10km/h to 130km/h. The results are promising and so real life evaluation is the goal of future development.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114723406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distributed Model Predictive Control Algorithm with Communication Delays for a Cooperative Adaptive Cruise Control Vehicle Platoon","authors":"A. Maxim, C. Lazar, C. Caruntu","doi":"10.1109/MED48518.2020.9183078","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183078","url":null,"abstract":"This paper proposes a distributed model predictive control (DMPC) strategy with known delays in the communication network. The algorithm is suitable for a vehicle platooning application in the cooperative adaptive cruise control (CACC) framework. All the platoon vehicles are connected in a uni-directional wireless communication network. The simulation results for a five-vehicle platoon show that the DMPC optimization problem can successfully accommodate for the communication delays, while a velocity-dependent inter-vehicle spacing-policy for the follower vehicles is used.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Machine Learning-Based Cyber-attack Detection and Resilient Operation via Economic Model Predictive Control for Nonlinear Processes","authors":"Scarlett Chen, Zhe Wu, P. Christofides","doi":"10.1109/MED48518.2020.9182971","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9182971","url":null,"abstract":"This work proposes resilient operation strategies for nonlinear processes that are vulnerable to targeted cyber-attacks, as well as detection and handling of standard types of cyber-attacks. Working with a general class of nonlinear systems, a modified Lyapunov-based Economic Model Predictive Controller (LEMPC) using combined closed-loop and open-loop control action implementation schemes is proposed to optimize economic benefits in a time-varying manner while maintaining closed-loop process stability. Although sensor measurements may be vulnerable to cyber-attacks, the proposed controller design and operation strategy ensure that the process will maintain stability and stay resilient against particular types of destabilizing cyber-attacks. Data-based cyber-attack detectors are developed using sensor data via machine-learning methods, and these detectors are periodically activated and applied online in the context of process operation. Using a continuously stirred tank reactor example, simulation results demonstrate the effectiveness of the resilient control and detection strategy in maintaining stable and economically optimal operation in the presence of cyber-attacks.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126471025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Vrushabh, P. Akshay, K. Sonam, S. Wagh, Navdeep M. Singh
{"title":"Robust Path Integral Control on Stochastic Differential Games","authors":"D. Vrushabh, P. Akshay, K. Sonam, S. Wagh, Navdeep M. Singh","doi":"10.1109/MED48518.2020.9183351","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183351","url":null,"abstract":"This paper develops a robust path integral (RPI) model predictive control using the Monte Carlo (MC) sampling to address the optimal control (OC) problem for the stochastic differential game (SDG). The two-player zero-sum differential game has been extensively investigated, mostly as its outcome indicates the $H_{infty}$ optimality. The proposed path integral (PI) control framework provides an analytically sound method for building an algorithm of optimal control for this game based on stochastic trajectory sampling. This is achieved by using Feynman-Kac (F-K) lemma which transforms the value function of stochastic optimal control (SOC) problem into an expectation over all probable trajectories. This transformation makes it possible to solve SOC problems through MC sampling of stochastic processes. Finally, the RPI model predictive control using MC sampling is efficiently implemented for an inverted pendulum system. The RPI control has achieved good performance for changes in inverted pendulum weight and friction when the complete nonlinear swing-up is concerned while such environmental adjustments are not dealt with in a regular PI control.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125856127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Markus Lukassek, Andreas Völz, Tomas Szabo, K. Graichen
{"title":"Model Predictive Control for Agricultural Machines with Implements","authors":"Markus Lukassek, Andreas Völz, Tomas Szabo, K. Graichen","doi":"10.1109/MED48518.2020.9183272","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183272","url":null,"abstract":"This paper presents a method to stabilize a specific point on a vehicle along a given reference path or trajectory. To this end, based on the classical kinematic single-track model, the rear axle midpoint is transformed to any point that is rigidly coupled to the vehicle, e.g., an agricultural implement. An invariant tracking error is formed which is required for trajectory tracking and path-following using a nonlinear model predictive control. This provides the possibility to react to kinematic restrictions and actuator dynamics as well as to delay times in the actuator system. The underlying optimization problem is solved using a gradient-based augmented Lagrangian approach in order to achieve real-time feasibility. The algorithms are validated in simulations. A hardware-in-the-loop simulation is performed on an embedded electronic control unit to prove real-time capability.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A New Approach for Designing Stable Nonlinear bounded-Lipschitz Observers","authors":"P. Papageorgiou, A. Alexandridis","doi":"10.1109/MED48518.2020.9183360","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183360","url":null,"abstract":"Observer synthesis for nonlinear Lipschitz systems is still an open problem mainly due to the heuristic manner of obtaining the observer gain matrix. The design is constrained with hard stability restrictions typically imposed by the Lipschitz constant. In this paper, it is shown that when the Lipschitz terms are bounded the stability restrictions can be significantly relaxed and an easily implemented design is deployed which enables the observer linear part eigenvalues to be assigned with a desirable real part on the left of the system poles. The asymptotic stability of the estimation-error is guaranteed by employing a Lyapunov-type equation, which is absolutely compatible with the bounded conditions assumed for the nonlinear terms. As it is easily seen, the proposed observer can be directly integrated into a closed-loop system structure with any linear feedback controller capable to stabilize the original system. The validity of this method is verified by implementing the proposed design on a fundamental power system example. The simulation results fully support the theoretical analysis by exhibiting the easy way of the design which allows an enhanced observer-based control performance.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129920907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ruhnke, X. Moreau, André Benine-Neto, M. Moze, F. Aioun, F. Guillemard, Audrey Rizzo
{"title":"Fault tolerant velocity control of an urban autonomous vehicle based on a switching strategy","authors":"M. Ruhnke, X. Moreau, André Benine-Neto, M. Moze, F. Aioun, F. Guillemard, Audrey Rizzo","doi":"10.1109/MED48518.2020.9182872","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9182872","url":null,"abstract":"This paper presents a methodology of switching control law following a fault detection of a controller on a longitudinal speed regulation. This method consists on designing a dynamic parity space to detect a fault on a CRONE controller. Then a supervisor is put in place in order to calculate a residue, analyse it and generate a signal to switch from the CRONE controller to the PI and so ensuring the speed regulation despite the fault. Results show that the proposed method ensures a safe functioning of the cruise control despite control faults.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Kakanov, Fatimat B. Karashaeva, O. Borisov, A. Pyrkin
{"title":"Tracking Output Robust Control of Unmanned Surface Vessel with Disturbance Cancellation and Anti-Windup","authors":"M. Kakanov, Fatimat B. Karashaeva, O. Borisov, A. Pyrkin","doi":"10.1109/MED48518.2020.9183200","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183200","url":null,"abstract":"This paper shows an explicit application example of the robust output high-gain control framework augmented with the internal model and back-calculation anti-windup technique. The application in question concerns station-keeping and tracking of an unmanned surface vessel modeled as MIMO systems with cross-couplings. The framework is illustrated by a set of simulation runs under different conditions.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115948319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leila Bouazza, B. Mourllion, A. Makhlouf, A. Birouche
{"title":"Controllability and observability robustness of perturbed linear time invariant systems","authors":"Leila Bouazza, B. Mourllion, A. Makhlouf, A. Birouche","doi":"10.1109/MED48518.2020.9183331","DOIUrl":"https://doi.org/10.1109/MED48518.2020.9183331","url":null,"abstract":"The controllability and observability of a continuous linear time-invariant system (LTI) under perturbations are analyzed in this paper. Based on various mathematical tools, sufficient conditions to ensure controllability of LTI systems are presented. Besides, the perturbed system corresponds to a perturbation of the matrices, and the conditions that have been established are intimately linked to the structure of perturbed system. By duality, the robustness of observability is also ensured under suitable conditions.","PeriodicalId":418518,"journal":{"name":"2020 28th Mediterranean Conference on Control and Automation (MED)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121174530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}