@article{ 
author = {Tohidi, Nasim and Dadkhah, Chitra and Gelbukh, Alexander},  
title = {Abstract Meaning Representation: A State-of-the-Art Review}, 
abstract ={The application of Abstract Meaning Representation (AMR) is widely increasing as a principal form of structured sentence semantics, and it is considered as a turning point for Natural Language Processing (NLP) research. AMRs are rooted and labeled graphs, which capture semantics on sentence level and abstract away from Morpho-Syntactic properties. The nodes of the graph represent meaning concepts, and the edge labels show relationships between them. In this paper, we give a brief review about the existing approaches of generating text from AMR and parsing input text to produce AMR by studying various research from 2013 to 2022. Besides, we explain how the researchers have been used AMR for prevalent NLP tasks. Afterwards, we describe the existing datasets and evaluation metrics, which can be used in this regard. Finally, we discuss some basic features and challenges of AMR.},  
Keywords = {Abstract Meaning Representation, Generation, Parsing, Natural Language Processing, Text},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-65-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-65-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}

@article{ 
author = {Aliyari-Shoorehdeli, Mahdi and Alikhani, Hami},  
title = {Fault Detection and Isolation of Linear Roesser Systems with Stochastic Communications}, 
abstract ={This paper addresses the problem of the fault detection and isolation of the two-dimensional (2D) linear Roesser systems with stochastic communication. Stochastic data transmission from the plant to the observer through the network is considered to reduce the required bandwidth of the communication network significantly. In this regard, the fault detection and isolation problem, while being robust with respect to the disturbances, is modeled as two H_∞ and a H_- optimization problems. The overall design approach of the observer with stochastic data transmission is proposed as a linear optimization problem with linear matrix inequality (LMI) constraints to get the best robust performance in fault detection and isolation while maintaining the stability of the observer. Finally, the effectiveness of the developed robust fault detection and isolation observer with stochastic reduced output data transmission is shown through some simulations.  },  
Keywords = {Fault Diagnosis, Roesser Systems, Stochastic Communications, Two-Dimensional Systems},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-69-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-69-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}

@article{ 
author = {Behrouz, Hadi and Mohammadzaman, Iman and Mohammadi, Ali},  
title = {Robust State-Feedback Control of Uncertain LPV systems Using Integral Quadratic Constraints}, 
abstract ={ A linear matrix inequality (LMI)-based algorithm is developed to design a robust state-feedback controller using integral quadratic constraints (IQCs) for an uncertain linear parameter varying system (LPVS). The uncertain LPVS is described by an interconnection of a nominal LPVS which is solely dependent on the measurable parameters and a block-structured uncertainty. The IQC approach is implemented to model the input/output behavior of the uncertainties. In general, the robust synthesis method and the IQC stability analysis for the uncertain LPVS lead to a non-convex problem and are solved by the iterative algorithms. However, in the proposed method, the problem is converted into a convex problem. Therefore, the LPV synthesis for the nominal LPVS and the IQC analysis for handling uncertainties are performed simultaneously. Consequently, without any constraints on nominal system matrices, the proposed method might achieve a better performance and less computational burden. Furthermore, the object is to minimize the l2 -gain, Hinf  control, when the closed-loop asymptotical stability is also guaranteed. The performance and effectiveness of the proposed method are demonstrated based on two examples.  },  
Keywords = {uncertain linear parameter varying systems, integral quadratic constraints, gain-scheduled controller, polytopic system.},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-66-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-66-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}

@article{ 
author = {NouriManzar, Mojtaba and Khaki-Sedigh, Ali},  
title = {From inductive model-based control system design to deductive data-driven unfalsified adaptive control: A Philosophical perspective}, 
abstract ={Feedback control loops are hidden but ubiquitous mechanisms all around the modern world. The current control technology utilizes model-based advanced control systems design. The philosophical background thought behind such designs is an inductivism-based reductionist-mechanistic approach. Despite its outstanding problem-solving achievements, it is argued that a deduction-based philosophical approach in the form of a data-driven control system design has emerged. Unfalsified control is a notable outcome of philosophical thinking and is briefly reviewed.  },  
Keywords = {Model-based control, Data-driven control, Falsification philosophy, Unfalsified control},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-70-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-70-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}

@article{ 
author = {Hadizadeh, Shirin and Nekoukar, Vahab and MahdianDehkordi, Nim},  
title = {Cooperative Adaptive Fault-Tolerant Formation Control of Quadrotor Swarm with Cyber-Attacks}, 
abstract ={The unique features of multi-rotor unmanned aerial vehicles (MRUAVs) have led to a variety of applications. However, the carrying capacity of MRUAVs remains one of the most critical challenges. Forming an MRUAV swarm can be an effective solution. In MRUAV swarms, followers require a formation control scheme to track one or more leaders. This formation control must address measurement noise, communication delays, model uncertainty, actuator and sensor faults, and cyber-attacks. In this paper, we propose a new cooperative adaptive fault-tolerant formation control for quadrotor swarms in the presence of deception during cyber-attacks. Quadrotors are connected to neighboring drones and a central leader. We evaluate the proposed method's ability to handle model uncertainty, actuator faults, cyber-attacks, and measurement noise through simulation studies. Considering all these challenges simultaneously and evaluating the presented formation control method stand as one of the primary contributions of this paper.},  
Keywords = {Cooperative control, fault-tolerant, formation control, quadrotor, unmanned aerial vehicle},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-71-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-71-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}

@article{ 
author = {Saberi, Mohammad Mahdi and Azimi, Mohammad and Shahnavaz, Mohammad Mahdi and Ebadollahi, Saeed and Najafi, Hamidreza and Sobati, Mohammad Ami},  
title = {Error Mitigation in UWB-Based Positioning Systems Using an Adapted Tree Approach}, 
abstract ={This paper addresses the challenge of mitigating positioning errors in Ultra-Wide Band (UWB) networks. We propose an adapted tree approach that compensates for error effects, leading to improved accuracy in both Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) environments. The ranging errors are classified into two types, LOS and NLOS condition errors, and the adapted tree approach starts with splitting the study based on the presence of these conditions. The ranging error values are studied in different distances and intervals are identified based on the standard deviation error criterion. The positioning results are presented and analyzed, showing that utilizing the adapted tree leads to an average error mitigation of about 53.4 cm in the LOS condition and about 133 cm in the NLOS condition. The results demonstrate the effectiveness of the adapted tree approach in error mitigation for both LOS and NLOS conditions. Furthermore, the EKF estimation method is found to be the most accurate estimator. Finally, the proposed approach is applied on a moving tag, achieving an accuracy of about 20.8 cm for LOS and 24.1 cm for NLOS conditions through the EKF method.},  
Keywords = {Indoor Positioning Systems, Real-Time Locating Systems, Error Mitigation, Extended Kalman Filter},
volume = {0},
Number = {0}, 
pages = {0-0}, 
publisher = {K. N. Toosi University of Technology (KNTU)},
url = {http://jocee.kntu.ac.ir/article-1-72-en.html},  
eprint = {http://jocee.kntu.ac.ir/article-1-72-en.docx},  
journal = {Journal of Control (English Edition)},  
issn = {2008-8345}, 
eissn = {2538-3752}, 
year = {2023}  
}