Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 21 for “"Artificial Immune System"”.
-
Artificial immune system based on real valued negative selection algorithms for anomaly detection
… the normal behavioral pattern of the monitored system. In this research, the Real-Valued Negative Selection with fixed-sized detectors (RNSA) and Real-Valued Negative Selection with variable-sized detectors (V-Detector) were applied for classification and detection of anomalies. The issue of …
-
Design of an Attitude Control System for a Spacecraft with Propellant Slosh Dynamics
… of propellant slosh dynamics in a spacecraft system during a maneuver leads to attitude control system (ACS) performance degradation resulting in attitude tracking errors and instability. As spacecraft missions become more complex and involve longer durations, a substantial propellant mass is …
-
An Online Adaptive Machine Learning Framework for Autonomous Fault Detection
… increasing complexity and autonomy of modern systems, particularly in the aerospace industry, demand robust and adaptive fault detection and health management solutions. The development of a data-driven fault detection system that can adapt to varying conditions and system changes is critical …
-
A SOM+ Diagnostic System for Network Intrusion Detection
… network intrusion detection diagnostic system including complex hybridization of a 3D full color Self-Organizing Map (SOM), Artificial Immune System Danger Theory (AISDT), and a Fuzzy Inference System (FIS). This SOM+ diagnostic archetype includes newly defined intrusion types to …
-
Performance Analysis Of Non-Linear Adaptive Control Laws Using Hardware in the Loop of an Unmanned Aerial System
<p>In practical applications, an Unmanned Aerial System's (UAS) baseline performance is dictated by how well it can follow a given trajectory with limited stress on the actuators. However, these can be insufficient performance metrics when the UAS is allowed to adapt to an unpredicted external …
-
Learning Strategies in Multi-Agent Systems - Applications to the Herding Problem
"Multi-Agent systems" is a topic for a lot of research, especially research involving strategy, evolution and cooperation among various agents. Various learning algorithm schemes have been proposed such as reinforcement learning and evolutionary computing. In this thesis two solutions to a …
-
Machine Learning-based GPS Jamming and Spoofing Detection
<p>The increasing reliance on Global Positioning System (GPS) technology across various sectors has exposed vulnerabilities to malicious attacks, particularly GPS jamming and spoofing. This thesis presents an analysis into detection and mitigation strategies for enhancing the resilience of GPS …
-
On-Board Artificial Intelligence for Failure Detection and Safe Trajectory Generation
… need. However, the operational safety of these systems can be easily affected if abnormal flight conditions are present, thereby compromising the nominal bounds of design of the system's flight envelop and trajectory following. This thesis focuses on investigating methodologies for modeling, …
-
Studies on Real-Valued Negative Selection Algorithms for Self-Nonself Discrimination
The artificial immune system (AIS) is an emerging research field of computational intelligence that is inspired by the principle of biological immune systems. With the adaptive learning ability and a self-organization and robustness nature, the immunology based AIS algorithms have successfully been …
-
Data-Driven Architecture to Increase Resilience In Multi-Agent Coordinated Missions
<p>The rise in the use of Multi-Agent Systems (MASs) in unpredictable and changing environments has created the need for intelligent algorithms to increase their autonomy, safety and performance in the event of disturbances and threats. MASs are attractive for their flexibility, which also makes …
-
An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
The biological immune system (BIS) is characterized by networks of cells, tissues, and organs communicating and working in synchronization. It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the …
-
Health Management and Adaptive Control of Distributed Spacecraft Systems
… inspection that involve multi-spacecraft systems increases, the requirements needed to improve post-failure safety to maintain the mission performance also increases, especially when operating under uncertain conditions. In particular, space missions that involve Distributed Spacecraft …
-
Advanced methods for prediction of animal-related outages in overhead distribution systems
Occurrence of outages in overhead distribution systems is a significant factor in determining distribution system reliability. Analysis of animal-related outages has practical value since animals cause a large number of outages in overhead distribution systems. This dissertation presents several …
-
Homeostatic-inspired controller algorithm for a hybrid-driven autonomous underwater glider
… and manoeuvrability due to the under-actuated system; relatively slow; limited propulsion forces; and limited external control surfaces. Furthermore, it is difficult to control the glider because of the high nonlinearity and complexity of the glider dynamics, coupled with the underwater …
-
Modeling Autonomous Agents' Behavior Using Neuro-Immune Networks
… been done in biological information processing systems to model the behavior of an autonomous robot. The Artificial Immune System (AIS) provides new paradigm suitable for dynamic problem dealing with unknown environment rather than a static problem. The immune system has some features such as …
-
Aircraft Abnormal Conditions Detection, Identification, and Evaluation Using Innate and Adaptive Immune Systems Interaction
… operation safety in all situations, intelligent system monitoring and adaptation must rely on accurately detecting the presence of abnormal conditions as soon as they take place, identifying their root cause(s), estimating their nature and severity, and predicting their impact on the flight …
-
Multi-facts devices installation for loss minimization and techno-economic impact assessment using EPSO approach
… of multi-unit Flexible Alternating Currents System (FACTS) device installation using single- and multi-objective problems. It also considers techno-economic impact in the system. In this research, the first objective is to develop heuristic technique Single�Objective Particle Swarm …
-
ALGORITHM DESIGN AND ANALYSIS IN DISTRIBUTED MULTI-ROBOT MULTI-TARGET TRACKING
… Multi-Target Tracking (MR-MTT), a critical system in various scenarios, including search-and-rescue missions, surveillance, and environmental monitoring. MR-MTT involves coordinating a team of robots to track multiple dynamic targets in diverse environments. This challenge requires efficient …
-
Multi-mode resource-constrained project schedule problem: metaheuristic solution procedures and extensions
… een genetisch algoritme (GA), een artificiel immune system algoritme (AIS) en een scatter search algoritme (SS). Het voorgestelde genetisch algoritme verschilt van andere genetische oplossingsmethodes aangezien het gebruik maakt van twee populaties, ´e´en met leftjustified schedules (waarbij …
Page 1 of 2