Ciprian Lupu

Universitatea Națională de Știință și Tehnologie Politehnica București | UPB · Department of Automatic Control and System Engineering

Most existing automated driving vehicles in the platoon equipped with an Adaptive Cruise Control (ACC) systems and a Cooperative Adaptive Cruise Control (CACC) systems have mainly focused on enhancing safety, improving traffic efficiency problems, and reducing workload. The spacing strategy is the core of all platoon designs, and the performance of...

In recent years, festivals, especially music festivals have become important vectors for promoting their host cities. Festivals are complex phenomena with high economic and socio-cultural impact. High CO 2 emissions and huge resource consumption are commonly related to the festivals’ negative environmental impact. Ensuring the suitable amount of wa...

A system with multiple controllers and a multiple-model architecture is one of the most effective solutions for the real-time control of nonlinear systems. The employment of these structures necessitates the resolution of certain difficulties, such as selecting the optimal algorithm or switching control algorithms. Based on the concepts of auto-tra...

The trend of vehicle applications have increased with the development of connected autonomous vehicles (CAVs), which requires network communication topology to exchange information between vehicles and with vehicle to infrastructure. In real-time, this paper tests the Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications equip...

This paper presents a dynamic model of a magnetic levitation system (Maglev) and suggests a Fuzzy Tuning of a proportional—integral--derivative controller (PID) that uses a fuzzy approach system to determine the PID controller's settings. The controller allows a steel ball to be suspended in free fall in the chosen position in reference to the elec...

In this paper, a new tool for system identification and model predictive control (MPC) has been developed. The mathematical approximation of the model identification was derived using the neural network theory. The emphasis of this paper is to employ a multi-layer recurrent neural network with three layers to match an autoregressive-moving average...

The paper proposes new solutions for controlling the combustion regime of Diesel engines: NOx reduction and fuel saving. The dynamic nonlinear model associated with a Diesel engine is evaluated and the linearized and reduced state models have been approximated, and the stability, controllability, and observability analysis of these models has been...

An unmanned aerial vehicle (UAV) also known as Unmanned Aerial Systems (UAS) or Drone. UAV can be a remote-controlled aircraft or pre-programmed route. UAV are gaining popularity and demand in the commercial sector and for personal, hobbyist use. There is an increasing demand for UAV in areas such as thermal scanning, delivery, and mapping in areas...

Graphics processing units and video cards have seen a surge of usage in domains other than graphics computers, due to advances in hardware and software technologies; however, little uptake has been in the domain of systems engineering and real time control. This research article will demonstrate the use of video cards in multimodel adaptive robust...

This paper presents the design and software solution for the neural controller based on the artificial intelligence theories, the neural networks. Real-time implementation and experimental study performed on the position control system with demonstrating the calculations of feedforward and backpropagation algorithms for the neural controller as wel...

Energy storage is a vital component in the chain of production-distribution-consumption of energy, even more so if the energy comes from a source that is intermittent and/or is not controllable as is the case with for example solar energy and wind energy. For many people, the term energy storage is the storage of electricity in batteries, as it is...

This paper shows the improvement of controller designing for a multivariable system, through the implementing and testing in real-time the classical methods for controlling the nonlinear multi-input multi-output system (MIMO), where the decentralized strategy, the proportional-integral-derivative controller (PID) used and the advanced method where...

The Cooperative Adaptive Cruise Control (CACC) is one of the key subsystems of Connected and Automated Vehicles (CAVs) that have the potential to increase the road traffic capacity and improve traffic safety with shorter inter-vehicle spacing between vehicles. The spacing strategies are the core of all CACC control algorithms which are chosen based...

this paper presents a proposal of the magnetic levitation (Maglev) ball system by using an optimal PID position controller. The optimal PID controller is achieved to keep a steel ball hanged in the air in the desired position with relation to the electromagnet bottom end. The optimal PID controller is to keep the balance between the magnetic force...

Water distribution systems represent complex infrastructure and there are many aspects to consider for ensuring the quality of service and reliability in metropolitan areas. There are multiple stages of distribution, while advanced control strategies are required for efficient operation of pumping stations. The proposed solution aims to uncover som...

Water is one of the most important resources nowadays, which is why a good management can bring multiple benefits in modern society. With the continuous increase of water consumption, there is significant research regarding the efficiency of water control and monitoring process, in order to make optimal decisions for the proper functioning of a hea...

Water distribution is fundamental to modern society, and there are many associatedchallenges in the context of large metropolitan areas. A multi-domain approach is required fordesigning modern solutions for the existing infrastructure, including control and monitoring systems,data science and Machine Learning. Considering the large scale water dist...

Water distribution is one of the main pillars of modern society and accounts for a constant need of innovative solutions to age-old problems. There are many challenges associated to the aging infrastructure in large metropolitan areas as well as efficient operation of control structures, requiring improved decision support systems and autonomous op...

As democracy is seen as the best form of government to date, we consider that a similar approach should be taken in the case of the society of machines that begins to take shape in the context of Industry 4.0. For this matter, we propose a real-time architecture that allows for collaborative interaction between machines in IoT applications. The pro...

A new method to compute the covariance matrix of the process noise is presented in this paper. This procedure is shown in the context of an Extended Kalman Filter. However, it does not use any of the matrices of the filter and is therefore independent of it. The method uses a constant covariance matrix for the measurement noise and, at each iterati...

The AR concept can be considered as one of the key technologies in the context of Industry 4.0 as it can be applied in many domains to provide context-aware interaction with the environment. While the concept of mixed reality is not new, the technology can now be found in different shapes and sizes, each tailored for a particular use case. In thi...

The paper presents the design of a new prototype car model which can be driven in platooning. After each part is tested in real time separately and integrated together to obtain the prototype car system, C++ language is used to program the hardware component system to do its mission. This controls the car behavior which is developed in a real-time...

Machine learning provides a foundation for a new paradigm where the facilities of computing extend to the level of cognitive abilities in the form of decision support systems. In the area of water distribution systems, there is an increased demand in data processing capabilities as smart meters are being installed providing large amounts of data. I...

Water distribution is arguably the most important factor in modern times. The quality of service is nonetheless taken for granted while requiring regular maintenance and timely repairs. Therefore, there is an increased demand in efficient operation requiring modern solutions to age-old problems. Multiple theoretical and practical approaches exist f...

The introduction of Machine Learning in large scale utility networks extends the room for improvement in the quality of service and maintenance costs. The ever expanding network of smart meters allows for a more accurate estimation of the state of the water distribution systems, at the same time requiring modern data processing solutions. By fusion...

Nowadays with the development of smart infrastructure for water resource management, there is an increased need for efficient operation and management of water distribution infrastructures. In this paper, we propose a system for real-time clustering system priority evaluation in a water distribution system. Data clustering algorithms are modified f...

This article presents a real-time control system for an experimental model of a water distribution system. The hardware and software implementation follows the latest trends in IoT and proves that such an architecture can be used for real-time process control in distributed systems. The control of flow is implemented using a multiple-model control...

Leak or fault detection in the energy and fluids utilities distribution networks represents a topic with important implications, where the safety of life and pollution are the covered priorities. Scientific literature and industry practices include dedicated solutions, suggested by theory and verified by actual use over long periods. Beginning with...

This paper describes a method for leak detection in a water distribution system based on detecting discrepancies between measured data and estimations obtained from the simulation of a water distribution network model. Using this method, the effect of a leak on measured data can be estimated at each node and the deviation from nominal values can...

Leaks and faults detection in the energy fluids and utilities distribution networks represents an objective with significant implications, where the safety of life and pollution are the included priorities. Reality and scientific literature contains dedicated solutions, validated in time by theory and industry. Starting from a few of these, this pa...

A design procedure for a control system suited for dynamic variable processes is presented in this paper. The proposed adaptive - robust control strategy considers both adaptive control advantages and robust control benefits. It estimates the degradation of the system's performances due to the dynamic variation in the process and it then utilizes i...

The structural identifiability analysis of linear lossy Port Controlled Hamiltonian(PCH) systems is proposed in this paper, by means of the observability and controllability concepts, which characterize a dynamic system. A general result is proved and proposed for the observability of linear lossy PCH systems. As example for the structural identifi...

Fault or leak detection in the utilities distribution and energy fluids networks represents an objective with significant implications, where, the pollution and safety of life are priorities included. Reality and scientific literature contain dedicated solutions, proposed by theory and validated in time, and industry. Starting from a few of these,...

In the paper, a solution for series multiple fan systems control is presented. Their applicability in modern building or mine ventilation systems is obvious. In order to validate the proposed solution an experimental stand and a real time software have been developed. The control algorithm is based on three multiple models system configurations, ea...

The aim of this paper, is to propose a solution for the model adequacy verification in indirect adaptive control beside the classical known validation tests. The dynamic system that was selected to verify the proposed solution, is represented by a flexible transmission described by a complex four order model. Using the selected model adequacy index...

The main issue of paper consist in proposing a few algorithms and control structures for PV grids which can increase predictability and flexibility degrees with respect to specific disturbances. The starting point of our model is the division of the PV grid in subgroups of optimal dimension and pairings that offer minimal variation between the quan...

The paper proposes and implements a performance control structure as a answer to cascade reservoir processes. It is elaborated by relying on the combined decentralized/distributed – decoupled method specific to processes with multiple variables. In every important designing step for the structure parts, we show a few illustrative numerical examples...

The adaptive–robust control strategy, proposed in this paper, combines the advantages of robust and adaptive control, while minimizing the computational load. Usually, a lot of mathematical operations are necessary, which limit the real time applicability of such strategies. By developing a simple, yet useful rule, the number of operations needed t...

The adaptive–robust control strategy, proposed in this paper, combines the advantages of robust and adaptive control, while minimizing the computational load. Usually, a lot of mathematical operations are necessary, which limit the real time applicability of such strategies. By developing a simple, yet useful rule, the number of operations needed t...

The proposed approach presents a real time control structure for managing a photovoltaic grid so as to obtain a stabilized output load, in case of charge and functioning disturbances. Its applicability is validated on a control structure of multiple PV (sub) groups, connected in parallel to provide energy, a situation usually encountered in the ren...

This paper describes the implementation of a surveillance, monitoring and teleconference system used by the TELEDIM telemedicine system. Windows tablets and smart phones are used to capture audio and video data and send them through an ad-hoc wireless internet network to surveillance servers.

Detection of melanoma in early stages is critical in terms of life expectancy of the patient and, also, in terms of treatment costs. In this context, we investigate the feasibility of implementing an algorithm that uses nonstandardized color images of skin lesions for risk assessment. In this paper we present a methodology for real-time acquisition...

A novel real time approach structure implementation to manage multiple sources and/or generator systems on maintaining the global load, in case of charge and functioning disturbances is proposed. Its applicability is validated on a control structure of two and four constant and variable load sources, connected in parallel to provide energy, a situa...