Search results for: Da-Wei Gu

Items from 1 to 20 out of 52 results

chapter

Neural Networks

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 29-35

IntroductionIn 1943, McCulloch and Pitts first proposed the feedforward perceptron and since then neural networks have found their way into a variety of applications [103, 104]. Artificial neural networks (NNs) consist of a large number of simple processing elements called neurons which are interconnected together via channels called connections. This structure is in fact inspired by the structure...

article

Approximate 3D Euclidean Shortest Paths for Unmanned Aircraft in Urban Environments

Guillermo Frontera, David J. Martín, Juan A. Besada, Da-Wei Gu

Journal of Intelligent & Robotic Systems > 2017 > 85 > 2 > 353-368

This paper introduces a fast algorithm that finds collision-free 3D paths for unmanned aircraft in urban environments. These environments are represented by a three-dimensional scenario in which obstacles are vertical polyhedra. This algorithm uses a method to reduce the number of obstacles taken into account in the path finding process. This method is combined with an algorithm that computes approximate...

article

Derivative-free square-root cubature Kalman filter for non-linear brushless DC motors

Devendra Potnuru, Kumar Pakki Bharani Chandra, Ienkaran Arasaratnam, Da-Wei Gu, more

IET Electric Power Applications > 2016 > 10 > 5 > 419 - 429

This paper presents a non-linear square-root estimation scheme for brushless DC (BLDC) motors. The cubature Kalman filter (CKF) is the main estimation tool for the presented approach. The CKF is a recently proposed estimator for highly non-linear systems and its efficacy has been verified on several applications. The square-root version of the CKF is preferred over the conventional CKF for real-time...

article

Cubature H∞ information filter and its extensions

Kumar Pakki Bharani Chandra, Da-Wei Gu, Ian Postlethwaite

European Journal of Control > 2016 > 29 > C > 17-32

State estimation for nonlinear systems with Gaussian or non-Gaussian noises, and with single and multiple sensors, is presented. The key purpose is to propose a derivative free estimator using concepts from the information filter, the H∞ filter, and the cubature Kalman filter (CKF). The proposed estimator is called the cubature H∞ information filter (CH∞IF); it has the capability to deal with highly...

chapter

Robust Control of a Distillation Column

Da-Wei Gu

Lecture Notes in Control and Information Sciences > Mathematical Methods for Robust and Nonlinear Control > Applications of Robust and Nonlinear Control > 289-327

In this Chapter we present the design of a robust control system for a high-purity distillation column. The original nonlinear model of the column is of high order and it includes parametric gain and time delay uncertainty. A low order linearized distillation column model is used in design of a two-degree-of freedom (2DOF) $\mathcal{H}_\infty$ loop shaping controller and a μ-controller. Both controllers...

chapter

Fault Detection and Isolation (FDI)

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 5-17

IntroductionWith the growing use of complex systems, there has been considerable interest in the development of techniques to detect and isolate faults. An undetected fault in a system can have catastrophic effects such as loss of human life, environmental pollution and financial losses. Examples of places where FDI schemes can be useful are hospitals and manufacturing companies. In hospitals, staff...

chapter

Robust Control of a Hard-Disk Drive

Da-Wei Gu

Lecture Notes in Control and Information Sciences > Mathematical Methods for Robust and Nonlinear Control > Applications of Robust and Nonlinear Control > 329-371

This chapter considers the design of a robust servo systemof hard disk drive(HDD). Three robust design methods are applied, namely, the μ-synthesis, $\mathcal{H}_\infty$ optimal design and $\mathcal{H}_\infty$ loop-shaping design procedure (LSDP). After a description of the HDD servo system dynamics in the first section, it is shown in details (in Section 12.2) how to derive the plant model which...

chapter

Introduction

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 1-4

Research ObjectivesNowadays unmanned air vehicles (UAVs) are used in applications deemed dangerous or unreachable by manned air vehicles. It is estimated that nearly 8000 UAVs (worth $3.9 billion) were produced worldwide between 1994 and 2003 [1]. Their applications have been widespread and included: the agricultural industry, environmental control, mineral exploration, news broadcasting, unexploded...

chapter

SFDA-Single Sensor Faults

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 37-82

IntroductionIn this chapter, a NN-based and EKF-based sensor fault detection and accommodation (SFDA) scheme are proposed and compared under different levels of unknown inputs and fault types. The schemes are tested on a nonlinear UAV model. The EKF is chosen as a representative of nonlinear (fixed) modelbased SFDA schemes which rely on a mathematical description of the real system. On the other hand,...

chapter

FADS System Applied to a MAV

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 109-158

IntroductionIn this chapter a FADS system is designed and wind tunnel tested on a MAV wing (supplied by BlueBear Systems Research, BBSR Ltd). For an introduction to FADS systems the reader is referred to Chapter 3. The aim in this chapter is to design a FADS system which can convert aircraft surface pressure to 3 air data states; P _∞, V _∞, α The ideal location of the pressure...

chapter

SFDIA-Multiple Sensor Faults

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 83-107

IntroductionA NN-based SFDIA scheme is proposed for the detection of multiple sensor faults in a nonlinear UAV model. In general, a group of sensors can fail simultaneously or consecutively (i.e. one at a time). In this chapter, we consider the latter scenario where a 1s time gap is allowed between consecutive sensor faults. However as before we assume that once a sensor has failed it cannot recover...

chapter

Conclusions and Future Work

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 159-163

This book aims to exploit existing aircraft technologies to reduce costs in UAVs. The technologies include a NN-based SFDIA scheme tested on a nonlinear UAV model, and a FADS system tested on a MAV. In industry, sensor faults are generally detected based on physical redundancy and/or limit value checking techniques. However such methods can suffer from high instrumentation costs, slow fault...

chapter

Introduction to FADS Systems

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences > Fault Detection and Flight Data Measurement > 19-27

IntroductionTraditionally, critical air data are measured using air data booms protruding from the aircraft local flow field; freestream static pressure (P _∞) and total pressure (P ₀) are measured using a Pitot-static tube while angle of attack (α) and angle of sideslip (β) are measured using small vanes mounted on the air data boom. Using these four basic air data quantities (...

chapter

Real-Time Optimal Time-Critical Target Assignment for UAVs

Yoonsoo Kim, Da-Wei Gu, Ian Postlethwaite

Lecture Notes in Control and Information Sciences > Advances in Cooperative Control and Optimization > 265-280

In the literature, e.g. [10], one can find the so-called basic UAV mission target assignment in which m UAVs each with a capacity limit q visit n targets in a cooperative manner (and return to their departure points) such that the cost incurred by each UAV’s travel is minimized. In [10], we proposed a mixed integer linear program (MILP) formulation which exactly solves the problem, as well as four...

book

Fault Detection and Flight Data Measurement

Ihab Samy, Da-Wei Gu

Lecture Notes in Control and Information Sciences

This book considers two popular topics: fault detection and isolation (FDI) and flight data estimation using flush air data sensing (FADS) systems. Literature surveys, comparison tests, simulations and wind tunnel tests are performed. In both cases, a UAV platform is considered for demonstration purposes. In the first part of the book, FDI is considered for sensor faults where a neural network approach...

book

Robust Control Design with MATLAB®

Da-Wei Gu, Petko Hristov Petkov, Mihail Mihaylov Konstantinov

Advanced Textbooks in Control and Signal Processing

article

Synthesis of fluorinated block copolymer electrolyte containing quaternary ammonium base

Yong Hu, Da Wei Gu, Fan Li, Xiang Chun Qi, more

Journal of Materials Science > 2016 > 51 > 12 > 5834-5842

Fluorinated block copolymers poly(2,3,4,5,6-pentafluorostyrene)-b-poly(styrene) (PFS-b-PS) synthesized by atom transfer radical polymerization was functionalized with quaternary ammonium base groups via chloromethylation of PFS-b-PS, followed by reactions with trimethylamine and ion exchange with KOH to prepare anion exchange block polymer electrolytes (AEBPEs). The challenges and limitations during...

article

Synthesis of N-arylcarboxamides by the efficient transamidation of DMF and derivatives with anilines

Da-Wei Gu, Xun-Xiang Guo

Tetrahedron > 2015 > 71 > 48 > 9117-9122

A novel protocol for the transamidation of DMF and derivatives with weakly nucleophilic anilines has been developed, utilizing a catalytic amount of Pd(OAc)₂ and 2,2′-bipyridine, and with PivOH and BF₃·Et₂O as additives. This methodology has a broad substrate scope, and various corresponding transamidation products were prepared in good to excellent yields from commercially available DMF derivatives...

chapter

An intelligent suboptimal path planning algorithm using Rapidly-exploring Random Trees

Mangal Kothari, Da-Wei Gu, Ian Postlethwaite

2009 European Control Conference (ECC) > 677 - 682

2009 European Control Conference (ECC)

In this paper, we present an algorithm using Rapidly-exploring Random Trees (RRTs) to generate suboptimal paths for unmanned air vehicles (UAVs) in real time, given a starting location and a goal configuration in the presence of both static and pop-up obstacles. Generating near optimal paths in obstacle rich environments within a given short time window is a challenging task. Hence we first generate...

article

Copper-catalyzed synthesis of 1,2-diketones via oxidation of alkynes

Ning Xu, Da-Wei Gu, Yan-Sheng Dong, Feng-Ping Yi, more

Tetrahedron Letters > 2015 > 56 > 12 > 1517-1519

The direct oxidation of internal alkynes proceeds efficiently in the presence of CuI as a catalyst to afford the corresponding 1,2-diketones in good yields. This strategy offers a simple and efficient route for the synthesis of 1,2-diketones from an inexpensive copper catalyst and easily available internal alkynes. The advantage of present protocol is further demonstrated by the synthesis of quinoxaline...

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INFONA - science communication portal

Search results for: Da-Wei Gu

Neural Networks

Approximate 3D Euclidean Shortest Paths for Unmanned Aircraft in Urban Environments

Derivative-free square-root cubature Kalman filter for non-linear brushless DC motors

Cubature H∞ information filter and its extensions

Robust Control of a Distillation Column

Fault Detection and Isolation (FDI)

Robust Control of a Hard-Disk Drive

Introduction

SFDA-Single Sensor Faults

FADS System Applied to a MAV

SFDIA-Multiple Sensor Faults

Conclusions and Future Work

Introduction to FADS Systems

Real-Time Optimal Time-Critical Target Assignment for UAVs

Fault Detection and Flight Data Measurement

Robust Control Design with MATLAB®

Synthesis of fluorinated block copolymer electrolyte containing quaternary ammonium base

Synthesis of N-arylcarboxamides by the efficient transamidation of DMF and derivatives with anilines

An intelligent suboptimal path planning algorithm using Rapidly-exploring Random Trees

Copper-catalyzed synthesis of 1,2-diketones via oxidation of alkynes

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