PhD Course Materials
ENGG5403 Linear System Theory and Design (Instructor: Prof. Ben M. Chen)
- Lecture Notes
- Design project
- Assignment
- Assignment 1: Linear Algebra, Transfer Function, State Space, Stability
- Assignment 2: Controllability, Observability
- Assignment 3: System Invertibility, Invariant Zeros, Structural Decompositions
- Assignment 4: Stabilization of Multivariable Systems
- Assignment 5: LQR, LQG, Kalman Filter
- Assignment 6: $H_{2}$ and $H_{\infty}$ control
- Supplementary Material
MAEG5160 Design for Additive Manufacturing (Instructor: Prof. Xu Song)
- Syllabus
- Lecture Notes
- Lecture 0: Introduction to optimization
- Lecture 1: Introduction to AM and AM economy
- Lecture 2: Design for polymer AM
- Lecture 3: Design for metal AM
- Lecture 4: Digital Design for AM and generative design
- Lecture 5: Finite Element for Topological Optimization
- Lecture 6: Topology Optimization (TO) by distribution of isotropic material 1
- Lecture 7: Topology Optimization (TO) by distribution of isotropic material 2
- Lecture 8: Topology Optimization (TO) by distribution of isotropic material 3
- Lecture 9: Extensions and Applications 1
- Lecture 10: Extensions and Applications 2
- Lecture 11: Extensions and Applications 3
- Lecture 12: Extensions and Applications 4
- Lecture 13: Design with anisotropic materials 1
- Lecture 14: Design with anisotropic materials 2
- Lecture 15: Design with anisotropic materials 3
- Lecture 16: Design with anisotropic materials 4
- Lecture 17: Topology design of truss structures 1
- Lecture 18: Topology design of truss structures 2
- Lecture 19: Topology Optimization for Additive Manufacturing (TO4AM)
- Lecture 20: Digital design of lattice and zero mean curvature structures
- Lecture 21: Consolidation and tooling design
- Lecture 22: Post processing and Future of AM
- Lecture 23: Case study – AM applications in aerospace industry
- Lecture 24: Summary
- Project
- Homework
- Textbook
MAEG5070 Nonlinear Control Systems (Instructor: Prof. Jie Huang)
- Lecture Notes
- Chapter 0: Overview of Linear Control Systems
- Chapter 1: Introduction to Nonlinear Control
- Chapter 2: Phase Plane Analysis
- Chapter 3: Fundamentals of Lyapunov Theory
- Chapter 4: Advanced Stability Theory
- Chapter 5: Nonlinear control systems design
- Chapter 6: Input-Output linearization
- Chapter 7: Sliding Control
- Chapter 8: Adaptive Control
- Assignment
MAEG5080 Smart Materials and Structures (Instructor: Prof. Wei-Hsin Liao)
- Syllabus
- Lecture Notes
- Hand-Written Lecture Notes
- Lecture Note 1: Introduction
- Lecture Note 2: Smart Materials
- Lecture Note 3: Vibration
- Lecture Note 4: Step and Impulse Response
- Lecture Note 5: Base Excitation
- Lecture Note 6: Multi DoF Systems
- Lecture Note 7: General Structunal System (lumped-parameter)
- Lecture Note 8: Adaptive Structures
- Lecture Note 9: Piezoelectric Applications Data
- Lecture Note 10: MR Fluid Damper
- Lecture Note 11: Structural Dynamics
- Lecture Note 12: Discretization: (Galerkin’s Method)
- Assignment
ENGG5402 Advanced Robotics (Instructor: Prof. Fei Chen)
- Outline
- Lecture Notes
- Lecture 0: Course Outline
- Lecture 1: Introduction to robotics
- Lecture 2: Position and Orientation of Rigid Bodies
- Lecture 3: Euler and roll pitch yaw angles
- Lecture 4: Direct kinematics
- Lecture 5: Inverse kinematics
- Lecture 6: Differential Kinematics
- Lecture 7: Inverse differential kinematics Statics and force transformations
- Lecture 8: Dynamic model of robots: Lagrangian approach
- Lecture 9: Dynamic model of robots: Newton-Euler approach
- Lecture 10: Introduction to Control
- Lecture 11: Position Regulation (with an introduction to stability)
- Lecture 12: Interative Learning for Gravity Compensation
- Lecture 13: Trajectory Tracking Control
- Lecture 14: Adaptive Trajectory Control
- Lecture 15: Control in the Cartesian Space
- Lecture Supplementary: Robot Actuators and Sensors
- Midterm Revision
- Textbook
- Robotics Modeling, Planning and Control
- Robot Dynamics and Control
MAEG5130 Computational Mechanics (Instructor: Prof. Weizhao Zhang)
- Syllabus
- Lecture Notes
- Chapter 1: Introducation
- Chapter 2: 1D Strong & Weak Forms
- Chapter 3: 1D Approximation
- Chapter 4: 1D Formulation
- Chapter 5: Continuum Mechanics
- Chapter 6: Multidimensional Strong & Weak Forms
- Chapter 7: Multidimensional Trial Solution
- Chapter 8: Multidimensional Formulation
- Chapter 9: 2D Linear Elastic Fields
- Chapter 10: Elasticity
- Chapter 11: Plasticity
- Chapter 12: Stress Update Algorithms
- Chapter 13: Supplementary Infomation for Constitutive Laws
- Textbook
- Project
- Project 1: Solve the truss problems using MATLAB
- Project 2: Linear Isotropic and Linear kinematic Plasticity with Abaqus
- Project 3: Application of MATLAB for linear isotopic and kinematic hardening
MAEG5140 Materials Characterization Techniques (Instructor: Prof. Qiguang He)
- Syllabus
- Lecture Notes
- Lecture 1: Fundamental physics of X rays
- Lecture 2: Basic knowledge of X-rays diffraction
- Lecture 3: Intensity of X rays diffraction
- Lecture 4: Polycrystal analysis methods
- Lecture 5: Phase analysis and lattice parameter determination
- Lecture 6: Determination of residual stress
- Lecture 7: Fundamentals of electron optics and electron microscopy
- Lecture 8: Structure and basic principles of transmission electron microscope
- Lecture 9: Electron diffraction and diffraction imaging analysis
- Lecture 10: High resolution transmission electron microscopy
- Lecture 11: Scanning electron microscopes and electron probes
- Lecture 12: Electron backscatter diffraction analysis technology
- Lecture 13: Other microstructural analysis methods
- Lecture 14: Mechanical properties of Materials
- Homework
- Exam
- Midterm Exam: Question, Solution
- Final Exam
Candidacy Examination