Search
Search Results
-
Design and Analysis of Adversarial Samples in Safety–Critical Environment: Disease Prediction System
Deep learning is a part of machine learning applied in many applications, from object detection to disease prediction. In 2013, deep neural networks...
-
A semi-analytical solution in time domain for evaluating the nonlinear normal modes of a cantilever beam with a tip nonlinearity
In this work, a semi-analytical approach called the time variational method is used to evaluate the system’s nonlinear normal modes in the time...
-
Memory Nonfragile Output Feedback Robust MPC for Polytopic Time-delayed Systems with Constraints
This paper investigates memory nonfragile mixed-objective output feedback robust model predictive control (OFRMPC) for a class of uncertain systems...
-
DMPC of Networked Systems with Event-Triggered Computation
This chapter investigates the event-triggered DMPC scheme for achieving convergence and constraints satisfaction of NCSs. By applying a trigger in...
-
Direct Dynamic-Simulation Approach to Trajectory Optimization for Rotorcraft Category-A Maneuver Procedures
This paper treats numerical methods for an efficient prediction of the rotorcraft emergency procedures after engine failures. The analytical means of...
-
Community Detection Using Moore-Shannon Network Reliability: Application to Food Networks
Community detection in networks is extensively studied from a structural perspective, but very few works characterize communities with respect to...
-
Practical Residual Force Decomposition Method for Damage Identification of Existing Reticulated Shells
The non-destructive damage identification approaches for existing structures become more of a concern due to safety requirements. However, the...
-
Navigation for autonomous vehicles via fast-stable and smooth reinforcement learning
This paper investigates the navigation problem of autonomous vehicles based on reinforcement learning (RL) with both stability and smoothness...
-
Stochastic analysis of a bistable piezoelectric energy harvester with a matched electrical load
We present the analysis of a bistable piezoelectric energy harvester with matched electrical load, subject to random mechanical vibrations. The...
-
Introduction and Preview
The coexistence of multiple-time scales dynamics phenomena and sudden changes in system structure and parameters are frequently encountered in...
-
Singular Bautin bifurcation analysis of a slow–fast predator–prey system
Over the past few decades, the study of complex oscillations in slow–fast systems has been a focal point of research. Within the realm of slow–fast...
-
Adjoint high-dimensional aircraft shape optimization using a CAD-ROM parameterization
A gradient-based aeroelastic shape optimization framework making use of a reduced order model to substitute a parameterization based on...
-
Adaptive Fault-Tolerant Control Considering the Actuator Failure of Forklift Anti-Rollover System
An adaptive fault-tolerant anti-rollover fuzzy system is proposed to improve the anti-rollover performance of counterbalanced forklifts. Considering...
-
An adjoint-based methodology for calculating manufacturing tolerances for natural laminar flow airfoils susceptible to smooth surface waviness
AbstractAn adjoint-based method is presented for determining manufacturing tolerances for aerodynamic surfaces with natural laminar flow subjected to...
-
A Singularity-Free Guiding Vector Field for Robot Navigation
In robot navigation tasks, such as UAV highway traffic monitoring, it is important for a mobile robot to follow a specified desired path.
-
Detumbling a Flexible Tumbling Target Using a Space Robot in Post-capture Phase
In recent years, the sustained growth of space launch missions has inevitably led to a rapid increase in space debris, which has attracted extensive...
-
3 Sampled-data Control of Nonlinear Systems
This chapter provides some of the main ideas resulting from recent developments in sampled-data control of nonlinear systems. We have tried to bring...
-
On the Vulnerability of Deep Reinforcement Learning to Backdoor Attacks in Autonomous Vehicles
Recent work has shown that the introduction of autonomous vehicles can help solve critical transportation issues, such as reducing traffic jams. Deep...
-
Micro-vibration Analysis of a Satellite on Orbit by Using a Flexible Multibody Dynamic Model
During the on-orbit operation of a satellite, the micro-vibration generated by various disturbance sources affects the attitude stability and...
-
Sliced Wasserstein adversarial training for improving adversarial robustness
Recently, deep-learning-based models have achieved impressive performance on tasks that were previously considered to be extremely challenging....
