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arXiv 2025年

作者： Xie, Peng Betz, Johannes Raimondo, Davide M. Alanwar, Amr TUM School of Computation Information and Technology Department of Computer Engineering Technical University of Munich Heilbronn74076 Germany TUM School of Engineering and Design Department of Autonomous Vehicles Systems Technical University of Munich Garching85748 Germany School of Automatic Control Department of Engineering and Architecture University of Trieste Via Valerio 10 Trieste34127 Italy

Hybrid systems play a crucial role in modeling real-world applications where discrete and continuous dynamics interact, including autonomous vehicles, power systems, and traffic networks. Safety verification for these systems requires determining whether system states can enter unsafe regions under given initial conditions and uncertainties—a question directly addressed by reachability analysis. However, hybrid systems present unique difficulties because their state space is divided into multiple regions with distinct dynamic models, causing traditional data-driven methods to produce inadequate over-approximations of reachable sets at region boundaries where dynamics change abruptly. This paper introduces a novel approach using hybrid zonotopes for data-driven reachability analysis of piecewise affine systems. Our method addresses the boundary transition problem by developing computational algorithms that calculate the family of set models guaranteed to contain the true system trajectories. Additionally, we extend and evaluate three methods for set-based estimation that account for input-output data with measurement noise. © 2025, CC BY.

关键词： Convergence of numerical methods

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Modelling and control of a Flexible Floating Boom: First Approach

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IFAC-PapersOnLine 2017年第1期50卷 13108-13113页

作者： Gapingsi, G.E. Korbas, R. Santos, M. Computer Architecture and Automatic Control Department Computer Science Faculty Complutense University of Madrid C/ Profesor García Santesmases 9 Madrid28040 Spain

Floating booms are useful tools in the marine world, especially for marine demarcation where some kind of contamination of sea, ocean or coastal water is present. In this work we have developed a mathematical model for a flexible floating boom which is hooked on two boats (unmanned surface vehicles). It is meant to be used for oil spill containment in marine areas. In order to simplify the model and to make possible its computer simulation, we have adopted a quasi-static approximation where we assume that the inertial forces are small compared to the drag forces applied to the boom. The simulation of this mathematical model has allowed the analysis of the behavior of the floating boom. Based on this knowledge, we have designed a control system which allows us to maintain the flexible floating boom in a specific configuration by controlling its shape. For that purpose, the control approach deals with the speed of the two ends of the floating boom. The results obtained with the implemented control system are encouraging, considering the model is a simplified discrete one and the control effort is reasonable. © 2017

关键词： Marine pollution control systems Drag Knowledge based systems Models Oil spills Unmanned surface vehicles control approach Floating boom Inertial forces Knowledge based control Modelling and controls Quasistatic approximations Simulation Spill containment

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automatic detection of vehicles in outdoor parking lots from zenith perspective using neural networks

Automatic detection of vehicles in outdoor parking lots from...

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2020 Summer computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

作者： García, Juan Manuel Carrera Piorno, Joaquín Recas Mata-Garcia, María Guijarro Department of Computer Architecture and Automatic Control Faculty of Computer Science Universidad Complutense de Madrid Spain

ISBN: (纸本)9781713819462

Nowadays there are a variety of methods to assist parking users in finding free sites in parking lots. However, there is no automatic system that takes into account the size of the car looking for a space or whether the cars adjacent to the free spaces are correctly parked. This paper presents a new method for detecting and calculating the area of vehicles in images taken from a zenith plane using computer vision and machine learning techniques that will help to create a vehicle-oriented search algorithm dedicated to finding the optimal spaces for vehicles entering an outdoor parking lot based on its characteristics. Results with scaled-down and real vehicles show that this new method can detect the area of the vehicles in an image with an average accuracy of 97.98%. ©2020 Society for Modeling & Simulation International (SCS)

关键词： Vehicles

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Reaching a consensus on access detection by a decision system 2

Reaching a consensus on access detection by a decision syste...

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2014 2nd IEEE International Conference on Progress in Informatics and Computing, PIC 2014

作者： Guevara, Cesar Santos, Matilde Martin, Jose Antonio Lopez, Victoria Dep. Computer Architecture and Automatic Control Complutense University of Madrid Madrid Spain

ISBN: (纸本)9781479920334

Classification techniques based on Artificial Intelligence are computational tools that have been applied to detection of intrusions (IDS) with encouraging results. They are able to solve problems related to information security in an efficient way. The intrusion detection implies the use of huge amount of information. For this reason heuristic methodologies have been proposed. In this paper, decision trees, Naive Bayes, and supervised classifying systems UCS, are combined to improve the performance of a classifier. In order to validate the system, a scenario based on real data of the NSL-KDD99 dataset is used. © 2014 IEEE.

关键词： Decision trees

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Hybrid heuristic and mathematical programming in oil pipelines networks: Use of immigrants

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2005年第1期6卷 9-19页

作者： DE LA CRUZ J.M HERRáN-GONZáLEZ A RISCO-MARTíN J.L ANDRéS-TORO B Department of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Science Engineering C.E.S. Felipe II (U.C.M.) 28300 Aranjuez SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid Spain

We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mathematical Programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a repairing function to avoid infeasible solutions. In the Mathematical Programming approach the multiobjective optimization is solved using the Constraint Method in Mixed Integer Linear Programming. Some constraints of the mathematical model are nonlinear, so they are linearized. The results obtained with both methods for one concrete network are presented. They are compared with a hybrid solution, where we use the results obtained by Mathematical Programming as the seed of the evolutionary algorithm.

关键词： MOEA MILP Hybrid algorithm Constraints

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Multiobjective optimization of the transport in oil pipelines networks

Multiobjective optimization of the transport in oil pipeline...

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2003 IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2003

作者： De La Cruz, J.M. De Andres-Toro, B. Herran, A. Porta, E.B. Blanco, P.F. Dpt. Computer Architecture and Automatic Control Universidad Complutense de Madrid Madrid28040 Spain

ISBN: (纸本)0780379373

Heuristic methods are specially well suited to solve combinatorial problems. One of these problems is the distribution of petroleum products through oil pipelines networks. In this paper the problem is stated and solved using a multiobjective and constraint evolutionary optimization algorithm. Several objective functions has been defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some has been evaluated through a repairing function to avoid infeasible solutions. An example of working is given. © 2003 IEEE.

关键词： Heuristic methods

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Knowledge-Based Decision System for Sizing Grid-Connected Photovoltaic Arrays

Knowledge-Based Decision System for Sizing Grid-Connected Ph...

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7th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2012

作者： Mikati, Monir Santos, Matilde ÅF Technology Lindholmspiren 9 41756 Gothenburg Sweden Department of Computer Architecture and Automatic Control Universidad Complutense de Madrid 28040 Madrid Spain

In this paper we have developed a methodology and a numerical model for sizing photovoltaic (PV) arrays for grid-connected power consumers. The decision variables proposed are the PV contribution to the power demand and a transfer factor. The latter is a new index that we have defined, and it constitutes key knowledge for decision making when aiming to reduce power transfers between a local power system and the electric grid. The developed model generates days of solar irradiance and calculates PV power output for commercial PV modules. Sizing diagrams are presented that illustrate how the PV capacity, for a specific location and a local power demand, affects the PV contribution to the demand and the power trades with grid. For the particular simulation conditions studied, the sizing diagrams show PV contribution saturation levels and global transfer factor minimums. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Solar energy

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A context-awareness architecture for managing thermal energy in an nZEB building 1

A context-awareness architecture for managing thermal energy...

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1st IEEE International Smart Cities Conference, ISC2 2015

作者： Uribe, Oscar Hernandez Santos, Matilde Garcia-Alegre, Maria C. Guinea, Domingo Information Technology Electronics and Control CIATEQ AC Santiago-de Querétaro Mexico Computer Architecture and Automatic Control UCM Madrid Spain CSIC-UPM Arganda Madrid Spain

ISBN: (纸本)9781467365529

Global warming is seriously affecting society, but also to a lesser extent the longevity of the population and migration of people from the countryside to the cities present challenges for governments. Smart applications (smart city, smart grid, smart buildings, smart water, smart health) offer an alternative to deal with these challenges. Pervasive sensors, with increasingly powerful features, allow innovative developments, making possible a progressive growth in the so-called smart applications. Because information is the backbone of any type of smart environment, this work presents an architecture approach to take advantage of the capabilities of advanced sensors. Specifically in this work this architecture is applied to renewable energy systems for a better management of the thermal energy. A semantic sensors network has been developed to provide context awareness for managing thermal flow in a near Zero Energy Building (nZEB). The key elements are an Ontology Web Language (OWL) to describe the sensors and contextual knowledge, and a Semantic Web Rule Language (SWRL) to represent rule-based inferences for context reasoning. The main goal is to improve thermal energy comfort in a building with a reduction in the energy used. © 2015 IEEE.

关键词： Semantic Web

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Fuel fuzzy control in an aircraft: A first approach 11

Fuel fuzzy control in an aircraft: A first approach

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Decision Making and Soft Computing - 11th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2014

作者： Alonso, Elias Plaza Peñas, Matilde Santos Universidad Nacional de Educación a Distancia Madrid Spain Computer Architecture and Automatic Control Computer Science Universidad Complutense C/ Profesor García Santesmases sn Madrid Spain

ISBN: (纸本)9789814619967

This paper presents an intelligent approach to the design and simulation of a conventional civil aircraft fuel system using fuzzy logic. The development is focused on the center of gravity balance problem in a plane, i.e., fuel re-distribution between several tanks during a complete operation (ground and flight). Additionally, the controller must guarantee the fuel feeding to the engines and allows the tanks refueling. Due to the problem characteristics we have selected fuzzy technique in order to design a controller with the appropriate features to accomplish all requirements. To make it more efficient, the rule base is reduced to simplify the design problem without loss of generality. Simulation results are encouraging. © 2014, World Scientific Publishing Co. Pte Ltd. All rights reserved.

关键词： controllers

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Symbolic Regression for Marine Vehicles Identification ∗

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IFAC-PapersOnLine 2015年第16期48卷 210-216页

作者： D. Moreno-Salinas E. Besada-Portas J.A. López-Orozco D. Chaos J.M. de la Cruz J. Aranda Departament of Computer Science and Automatic Control National University Distance Education (UNED) Madrid Spain Department of Computer Architecture and Automatic Control Universidad Complutense de Madrid (UCM) Madrid Spain

The mathematical models used in simulation must be reliable and trustworthy enough to describe the real systems with an appropriate accuracy. This simulation process is specially important in marine environment due to the changing environmental conditions, to the cost of the infrastructure needed to carry out tests, and to the need of calibration, deployment and recovery of the marine systems. If a reliable mathematical model of the vehicle is available, a part of the experimental tests can be avoided. In this paper we present a system identification technique based on genetic programming, the symbolic regression, to be applied on marine systems. In this sense, we show that it is possible to obtain a mathematical model of a ship for control purposes without the need of describing or knowing the model structure in advance, i.e., the identification itself provides the model structure that better describes the system. Thus, we can define a reliable black-box model that is computed in a simple way and where no many experimental data are needed. The model obtained is tested with additional data and manoeuvres to show its good performance and prediction ability.

关键词： Autonomous vehicles marine systems identification symbolic regression genetic programming

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