77 citations · 206 across the 18 of their papers we have counts for
19 papers
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
Yigit Gurses, Kaan Buyukdemirci, Yildiray Yildiz
Driving in dense traffic with human and autonomous drivers is a challenging task that requires high-level planning and reasoning. Human drivers can achieve this task comfortably, a…
Neural Network Adaptive Control with Long Short-Term Memory
Emirhan Inanc, Yigit Gurses, Abdullah Habboush +2
In this study, we propose a novel adaptive control architecture, which provides dramatically better transient response performance compared to conventional adaptive control methods…
An Adaptive Pilot Model with Reaction Time-Delay
Abdullah Habboush, Yildiray Yildiz
Practical adaptive control implementations where human pilots coexist in the loop are still uncommon, despite their success in handling uncertain dynamical systems. This is owing t…
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes
Cem Okan Yaldiz, Yildiray Yildiz
This paper proposes a method for modeling human driver interactions that relies on multi-output gaussian processes. The proposed method is developed as a refinement of the game the…
Discrete Adaptive Control Allocation
Seyed Shahabaldin Tohidi, Yildiray Yildiz
The main purpose of a control allocator is to distribute a total control effort among redundant actuators. This paper proposes a discrete adaptive control allocator for over-actuat…
Act to Reason: A Dynamic Game Theoretical Model of Driving
Cevahir Köprülü, Yıldıray Yıldız
The focus of this paper is to propose a driver model that incorporates human reasoning levels as actions during interactions with other drivers. Different from earlier work using g…
Modeling, Control and Human-In-The-Loop Stability Analysis of an Elastic Quadrotor
Emre Eraslan, Yildiray Yildiz
This paper introduces an analytical framework for the derivation of hybrid equations of motion of a flexible quadrotor. This approach helps obtain rigid and elastic equations of mo…
Handling actuator magnitude and rate saturation in uncertain over-actuated systems: A modified projection algorithm approach
Seyed Shahabaldin Tohidi, Yildiray Yildiz
This paper proposes a projection algorithm which can be employed to bound actuator signals, in terms of both magnitude and rate, for uncertain systems with redundant actuators. The…
A Fault-Tolerant Integrated Vehicle Stability Control Using Adaptive Control Allocation
Ozan Temiz, Melih Cakmakci, Yildiray Yildiz
The focus of this paper is an integrated, fault-tolerant vehicle supervisory control algorithm for the overall stability of ground vehicles. Vehicle control systems contain many se…
A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation
Seyed Shahabaldin Tohidi, Yildiray Yildiz
This paper proposes an adaptive human pilot model that is able to mimic the crossover model in the presence of uncertainties. The proposed structure is based on the model reference…
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory
Berat Mert Albaba, Yildiray Yildiz
In this paper, a synergistic combination of deep reinforcement learning and hierarchical game theory is proposed as a modeling framework for behavioral predictions of drivers in hi…
Modeling Cyber-Physical Human Systems via an Interplay Between Reinforcement Learning and Game Theory
Mert Albaba, Yildiray Yildiz
Predicting the outcomes of cyber-physical systems with multiple human interactions is a challenging problem. This article reviews a game theoretical approach to address this issue,…
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
Ran Tian, Nan Li, Ilya Kolmanovsky +2
For a foreseeable future, autonomous vehicles (AVs) will operate in traffic together with human-driven vehicles. Their planning and control systems need extensive testing, includin…
Model Reference Adaptive Control Allocation for Constrained Systems with Guaranteed Closed Loop Stability
Seyed Shahabaldin Tohidi, Yildiray Yildiz, Ilya Kolmanovsky
This paper proposes an adaptive control allocation approach for uncertain over-actuated systems with actuator saturation. The proposed method does not require uncertainty estimatio…
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
Ran Tian, Sisi Li, Nan Li +3
In this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection. The algorithm is based on a game-theoretic model representing the…
A 3D Game Theoretical Framework for the Evaluation of Unmanned Aircraft Systems Airspace Integration Concepts
Negin Musavi, Ayman Manzoor, Yildiray Yildiz
Predicting the outcomes of integrating Unmanned Aerial Systems (UAS) into the National Airspace System (NAS) is a complex problem which is required to be addressed by simulation st…
Adaptive Pressure Control for Use in Variable-Thrust Rocket Development
Anil Alan, Yildiray Yildiz, Umit Poyraz
The precise control of gas generator pressure is important to obtain variable thrust in ducted rockets. A delay resistant closed loop reference model adaptive control is proposed i…
Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems
Nan Li, Dave Oyler, Mengxuan Zhang +3
Autonomous driving has been the subject of increased interest in recent years both in industry and in academia. Serious efforts are being pursued to address legal, technical and lo…
Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems
Scott Backhaus, Russell Bent, James Bono +5
Recent years have seen increased interest in the design and deployment of smart grid devices and control algorithms. Each of these smart communicating devices represents a potentia…