Nader Meskin

Qatar University · Department of Electrical Engineering

Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, their theory is not well-developed. In this paper, we propose a data-driven method for learning a lifted linear NI dynamics that approximates a nonlinear dynamical system u...

In this paper, we study a safe control design for dynamical systems in the presence of uncertainty in a dynamical environment. The worst-case error approach is considered to formulate robust Control Barrier Functions (CBFs) in an optimization-based control synthesis framework. It is first shown that environmentally robust CBF formulations result in...

The load frequency control (LFC) in modern power system like microgrid has turned out to be significantly challenging due to the high penetration of renewable energy sources (RESs) and the consequent reduction of overall system inertia. The inverter-equipped RESs like solar and wind power generation units, besides the load variations can prompt sus...

Uncertainties in load and solar power forecasting, complex energy storage system (ESS) constraints, and feedback correction pose challenges for very short-term and short-term hybrid power plant scheduling. This paper proposes a two-stage mixed-integer linear programming (MILP)-based energy dispatch engine (EDE). The proposed model ensures optimized...

Nonlinear Negative Imaginary (NI) systems arise in various engineering applications, such as controlling flexible structures and air vehicles. However, unlike linear NI systems, their theory is not well-developed. In this paper, we propose a data-driven method for learning a lifted linear NI dynamics that approximates a nonlinear dynamical system u...

In light of the advancement of the technologies used in industrial control systems, securing their operation has become crucial, primarily since their activity is consistently associated with integral elements related to the environment, the safety and health of people, the economy, and many others. This work presents a distributed, machine learnin...

Introduction Immune checkpoint blockade (ICB)-based therapy is revolutionizing cancer treatment by fostering successful immune surveillance and effector cell responses against various types of cancers. However, patients with HER2+ cancers are yet to benefit from this therapeutic strategy. Precisely, several questions regarding the right combination...

In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluat...

This paper proposes a data‐driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator to form a linear predictor for a nonlinear system. Then, the obtained Koopman predictor has been...

We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved through a combination of tractable optimal control problem formulations and the use of Control Barrier Functions (CBFs) that guarantee the satisfa...

This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis functions for the Koopman operator to form a linear Koopman predictor for a nonlinear system. Then, the obtained linear model is...

Sports facilities (SFs) consume massive energy given their unique demand profiles and operation requirements. Intelligent and effective solutions are necessary to tackle the matter of facilities’ sustainability and efficiency. Promoting efficient and environmentally sustainable SFs is pivotal towards environmentally friendly and socially resilient...

Sports facilities are considered complex buildings due to their high energy demand and occupancy profiles. Therefore, their management and optimization are crucial for reducing their energy consumption and carbon footprint while maintaining an appropriate indoor environmental quality. This work is part of the SportE3.Q project, which aims to manage...

Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while improving grid stability and meeting service demand. This is possible by adopting next-generation energy systems, which leverage artificial intelligence, the Internet of things (IoT), and communication technologies to collect and analyze big data in real-time and...

Immune checkpoint blockade (ICB)-based therapy is revolutionizing cancer treatment by fostering successful immune surveillance and effector cell responses against various types of cancers. However, patients with HER2+ cancers are yet to benefit from this therapeutic strategy. Precisely, several questions regarding the right combination of drugs, dr...

Despite AI's significant growth, its "black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical industrial infrastructures, medical systems, and financial applications, etc. Explainable AI (XAI) has emerged to help with this problem. However, d...

Background: Training is an essential aspect of providing high-quality treatment and ensuring patient safety in any medical practice. Because extracorporeal membrane oxygenation (ECMO) is a complicated operation with various elements, variables, and irregular situations, doctors must be experienced and knowledgeable about all conventional protocols...

In this paper, a self-triggered scheme is proposed to optimally control the traffic flow of Connected and Automated Vehicles (CAVs) at conflict areas of a traffic network with the main aim of reducing the data exchange among CAVs in the control zone and at the same to minimize the travel time and energy consumption. The safety constraints and the v...

We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved through a combination of tractable optimal control problem formulations and the use of Control Barrier Functions (CBFs) that guarantee the satisfa...

This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique. The key idea is to obtain a Koopman-based reduced-order model of a nonlinear dynamical system and apply the linear geometric FDI method to detect and isolate faults in the system....

Smart transportation cities are based on intelligent systems and data sharing, whereas human drivers generally have limited capabilities and imperfect traffic observations. The perception of Connected and Autonomous Vehicle (CAV) utilizes data sharing through Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I) communications to improve dri...

Networked control systems which transfer data over communication networks may suffer from malicious cyber attacks by injecting false data to the transferred information. Such attacks can cause performance degradation of the closed-loop system and the filtering problem. The sequential importance sampling (SIS) particle filtering (PF) methods employ...

Due to the continuous development of technology, an increasing number of electronic devices are being developed with networking features suitable for connecting to industrial networks. This technological evolution has also made its way to Industrial Control Systems (ICSs) where an increasing number of monitoring and controlling devices have been co...

Despite AI’s significant growth, its “black box" nature creates challenges in generating adequate trust. Thus, it is seldom utilized as a standalone unit in IoT high-risk applications, such as critical industrial infrastructures, medical systems, and financial applications, etc. Explainable AI (XAI) has emerged to help with this problem. However, d...

Sports tourism in the Gulf region started to flourish where several international sports events were secured for the next decade. This reflects on the number of sports facilities, their energy consumption, and CO2 emissions mainly due to the indoor and outdoor air conditioning requirements. This paper aims to emphasize the significance of energy ma...

This article introduces a systematic approach to synthesize linear parameter‐varying (LPV) representations of nonlinear (NL) systems which are described by input affine state‐space (SS) representations. The conversion approach results in LPV‐SS representations in the observable canonical form. Based on the relative degree concept, first the SS desc...

In this short paper, development of an adaptive fault tolerant control (FTC) using a virtual actuator framework is presented for one-sided Lipschitz nonlinear systems subjected to time-varying loss of effectiveness and additive actuator faults. The proposed controller does not require to have a separate unit to detect, isolate, and identify a fault...

This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone nonlinearity. The dead-zone nonlinearity is described by an uncertain nonlinear function of the control input which can repr...

Simulators for extracorporeal membrane oxygenation (ECMO) have problems of bulky devices and low-fidelity methodologies. Hence, ongoing efforts for optimizing modern solutions focus on minimizing expenses and blending training with the intensive care unit. This is particularly evident following the coronavirus pandemic, where economic resources hav...

Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness of various scenarios, and more accurate forecast of the trends with and without interventions. However, due to the outpouring of...

This paper presents a new method for robot interception planning based on the proportional navigation. Guidance laws are basically developed for aerospace applications where a pursuer impacts a target using these methods, however in the robotic application it is required to have a smooth grasp between the robot and the goal. In this method, a new t...

Connectivity and autonomy are considered two of the most promising technologies to improve mobility, fuel consumption, travel time, and traffic safety in the automated transportation industry. These benefits can be realized through vehicle platooning. A vehicle platoon is composed of a group of connected automated vehicles (CAVs) traveling together...

In this paper, the problem of simultaneous robust fault detection and isolation and control in the presence of the stochastic, energy bounded, and peak bounded disturbances for linear Roesser systems through the network with limited resources is investigated. Toward this goal, a novel event-triggered integrated fault detection, isolation and contro...

Abstract Intrusion detection in supervisory control and data acquisition (SCADA) systems is integral because of the critical roles of these systems in industries. However, available approaches in the literature lack representative flow‐based datasets and reliable real‐time adaption and evaluation. A publicly available labelled dataset to support fl...

Despite many advancements in extracorporeal membrane oxygenation (ECMO), the procedure is still correlated with a high risk of patient complications. Simulation-based training provides the opportunity for ECMO staff to practice on real-life scenarios without exposing ECMO patients to medical errors while practicing. At Hamad Medical Corporation (HM...

This paper considers distributed estimation of linear systems when the state observations are corrupted with Gaussian noise of unbounded support and under possible random adversarial attacks. We consider sensors equipped with single time-scale estimators and local chi-square ($\chi^2$) detectors to simultaneously opserve the states, share informati...

In this paper, time-varying loss of effectiveness and time-varying additive actuator faults in nonlinear heterogeneous multi-agent systems (MAS) are considered and an adaptive fault tolerant-control (FTC) scheme based on the virtual actuator framework is proposed. The proposed FTC scheme does not need any separate fault detection, isolation, and id...

The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. Since the Heating, Ventilation, and Air Conditioning (HVAC) system in buildings accounts for about 40% of the total energy consumption, threats targeting the HVAC system can be quite severe and costly. Given the limitation...

Heating, ventilation, and air conditioning (HVAC) systems are used to condition the indoor environment in buildings. They can be subjected to malfunctioning since they are the most extensively operated buildings’ components that account alone for almost half of the total building energy usage. Therefore, fault diagnosis (FD) of the HVAC system is i...

In this paper, the problem of distributed event-based control of large scale power systems in presence of denial-of-service (DoS) cyber attacks is addressed. Towards this end, a direct current (DC) microgrid composed of multiple interconnected distributed generation units (DGUs) is considered. Voltage stability is guaranteed by utilizing decentrali...

Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and evaluate different intervention scenarios and how they perform under different national characteristics and constraints. This work...

This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (SS) representations. The conversion approach results in LPV-SS representations in the observable canonical form. Based on the relative degree concept, first the SS descri...

With the rapid advancement in the industrial control technologies and the increased deployment of the industrial Internet of Things (IoT) in the buildings sector, this work presents an analysis of the security of the Heating, Ventilation, and Air Conditioning (HVAC) system which is a major component of the Building Management System (BMS), has beco...

Due to recent increase in deployment of Cyber-Physical Industrial Control Systems in different critical infrastructures, addressing cyber-security challenges of these systems is vital for assuring their reliability and secure operation in presence of malicious cyber attacks. Towards this end, developing a testbed to generate real-time data-sets for...

Hormone therapy or endocrine therapy is used along with other treatment strategies to alleviate different types of human cancers including prostate and breast [1, 2, 3, 4]. The idea of using hormone therapy for the regression of cancer stems from the understanding that many hormones play key roles in the progression of certain cancers. Hence, hormo...

Experimental and clinical evidence suggest that many single agent-based therapeutic approaches that are discussed in Chaps. 3– 8 show an improved potency (additive or synergistic effects) when used in combination [1, 2, 3, 4, 5]. Such combination therapy approaches can bring together the positive aspects of each therapy method involved to improve t...

In this chapter, various steps involved in building and validating mathematical models using the data of tumor dynamics observed experimentally are discussed. Experimental designs and data collection, various types of growth models, treatment models, model fitting algorithms, metrics used for fitting assessment and model validation, and equilibrium...

Anti-angiogenic therapy is used to interrupt the development of blood vessels towards and into the tumors from the existing blood vessels that surround the tumor micro-environment [1]. Anti-angiogenic therapy models primarily involves the dynamics of tumor cells, endothelial cells, angiogenesis inhibitory agents, and angiogenesis stimulatory agents...

Novel drugs and treatment methods are introduced for the management of cancer at a very fast pace. Given the complexity and heterogeneity of the disease, decision making regarding the right choice of the drug, dose, drug combination, and treatment schedule has become a perplexing task. Cancer scientists and oncologists worldwide are looking at usin...

Immunotherapy is a treatment strategy that uses external adjuvants to boost our immune system and thus make use of our body’s inherent mechanisms to fight cancer [1]. In this chapter, first some of the components and mechanisms pertaining to tumor dynamics are provided which are significant in facilitating immunotherapy in particular, then five mat...

Radiotherapy methods for cancer treatment involves the use of high energy beams of photons (X-rays), protons, and neutrons to bring about detrimental changes in the irradiated cells. These ionizing radiations primarily cause damage to the DNA of the cells and thereby impair the cell mitosis which eventually leads to cell death [3]. In case of mathe...

In this chapter, an overview of the mechanisms involved in the tumor growth, tumor interactions with the environment, types of therapeutic strategies used for management of the disease, and a general mathematical model of tumor dynamics are presented.

The purpose of this work is to design a covert agent structure that can create a non-zero frequency deviation in the load frequency control (LFC) system and illustrate the necessity of a secure communication network for the load frequency control. LFC systems are one of the most time-consuming control loops of power systems that are vulnerable to c...

The problem of distributed fast fault detection for a direct current (dc) microgrid that is composed of multiple interconnected distributed generation units (DGUs) is addressed in this article. A local fault detector is designed for each DGU based on the measured local state of the subsystem as well as the transmitted variables of neighboring measu...

This book provides a unified framework for various currently available mathematical models that are used to analyze progression and regression in cancer development, and to predict its dynamics with respect to therapeutic interventions. Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Ma...

In this article, a fault‐tolerant control (FTC) scheme for linear multiagent systems (MASs) subject to time‐varying loss of effectiveness and time‐varying additive actuator faults as well as external disturbance is investigated. The main objective of the proposed FTC approach is to keep the performance of an MAS after the occurrence of actuator fau...