Glossary
Every concept in the course and the lesson where it first appears. The number in brackets tells how many later lessons use it.
- absolute value 0.2 Equations, inequalities, polynomials and partial fractions (2)
- aircraft modes (phugoid, short period, Dutch roll) Flight dynamics 6 Longitudinal modes: the phugoid and the short period (2)
- aliasing Control engineering 3.4 Digital control: sampling, the Z-transform and the controller in code
- antiderivative 1.5 Integrals
- atmospheric entry Astronautics 10 Atmospheric entry
- attitude determination Astronautics 12 Attitude determination: sensors, TRIAD and filtering
- attitude determination and control Astronautics 13 Attitude control: reaction wheels, magnetorquers and thrusters
- attitude estimation Flight dynamics 3 Sensor fusion in 3D: attitude estimation with quaternions (1)
- autopilot Flight dynamics 9 The autopilot: inner and outer loops (1)
- average value of a function 1.5 Integrals
- bang-bang control Control engineering 5.1 Pontryagin's maximum principle, time-optimal control and the shooting method
- Bernoulli's equation Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces
- binomial distribution 5.1 Probability and distributions
- block diagram Control engineering 2.1 Block diagrams and the loop transfer function
- Bode plots Control engineering 2.3 Frequency response and Bode plots (3)
- boundary layer and turbulence Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces
- cascade control Control engineering 3.2 Tuning: a model from a test, tuning rules and cascade control (2)
- centre of mass and moment of inertia as integrals 3.3 Double and triple integrals
- chain rule 1.3 Derivatives (1)
- change of basis 2.2 Linear maps: rotations, change of basis, Lorentz transformation (1)
- characteristic equation 4.1 Ordinary differential equations
- circle 0.4 Analytic geometry and conic sections
- complementary filter Control engineering 4.5 The extended Kalman filter and single-axis sensor fusion (1)
- complex number 1.7 Complex numbers and phasors (8)
- composition of functions 0.1 Numbers, powers, logarithms and elementary functions (1)
- conic sections: ellipse, parabola, hyperbola 0.4 Analytic geometry and conic sections (3)
- conservative field and potential 3.4 Line integrals, conservative fields and exact differentials (1)
- continuity 1.2 Sequences, limits and continuity (1)
- continuity equation 3.6 The theorems of Green, Stokes and Gauss (1)
- controllability Control engineering 4.1 State feedback, pole placement and controllability
- controller tuning Control engineering 3.2 Tuning: a model from a test, tuning rules and cascade control
- convexity and the second derivative 1.4 Differential calculus in practice
- convolution 4.3 The Fourier transform and the Dirac delta (1)
- coordinate system 0.4 Analytic geometry and conic sections (1)
- covariance matrix Control engineering 4.4 The Kalman filter (1)
- cross product 1.1 Vectors (6)
- curl 3.5 Flux, divergence and curl (2)
- curvilinear unit vectors 3.2 Polar, cylindrical and spherical coordinates
- cylindrical coordinates 3.2 Polar, cylindrical and spherical coordinates (1)
- damped oscillator 4.1 Ordinary differential equations (2)
- dead time Control engineering 1.2 How systems respond: basic elements and the step response (2)
- definite integral 1.5 Integrals (10)
- delay margin Control engineering 2.4 Loop stability: the −1 point, margins and delay (1)
- derivative 1.3 Derivatives (6)
- derivative of a vector 1.3 Derivatives (7)
- determinant 2.1 Matrices, determinants and linear systems (2)
- diagonalisation, principal axes 2.3 Eigenvalues and eigenvectors
- differential 1.4 Differential calculus in practice (1)
- differential equation, general solution 4.1 Ordinary differential equations (5)
- differentiation rules 1.3 Derivatives
- diffusion (heat) equation 4.7 PDEs: the wave, diffusion and Laplace equations
- dimensional analysis 0.5 Units, dimensional analysis, estimation and measurement uncertainty (2)
- Dirac delta 4.3 The Fourier transform and the Dirac delta (1)
- direction field 4.1 Ordinary differential equations
- distance between points 0.4 Analytic geometry and conic sections (1)
- disturbance Control engineering 1.1 Why feedback? Open and closed loops (2)
- divergence 3.5 Flux, divergence and curl (3)
- divergence theorem 3.6 The theorems of Green, Stokes and Gauss (1)
- dot product 1.1 Vectors (8)
- double integral 3.3 Double and triple integrals (2)
- eigenvalue 2.3 Eigenvalues and eigenvectors (7)
- eigenvector 2.3 Eigenvalues and eigenvectors (4)
- equation of a line 0.4 Analytic geometry and conic sections (1)
- equilibria, stability, phase line 4.1 Ordinary differential equations (1)
- Euler angles (yaw, pitch, roll) Flight dynamics 1 Attitude in 3D: rotation matrices, Euler angles, axis–angle and quaternions (1)
- Euler's equations of rigid-body motion Flight dynamics 2 The rigid body in 3D: the inertia tensor, Euler's equations and the intermediate axis (4)
- Euler's formula 1.7 Complex numbers and phasors (2)
- Euler's method 4.1 Ordinary differential equations (2)
- Euler–Lagrange equation 6.1 Calculus of variations (1)
- exact and inexact differentials 3.4 Line integrals, conservative fields and exact differentials (1)
- existence and uniqueness 4.1 Ordinary differential equations
- exponential function 0.1 Numbers, powers, logarithms and elementary functions (5)
- extended Kalman filter (EKF) Control engineering 4.5 The extended Kalman filter and single-axis sensor fusion (2)
- extrema in several variables 3.1 Multivariable chain rule, extrema and Lagrange multipliers (1)
- extremum of a function 1.4 Differential calculus in practice (2)
- feedback Control engineering 1.1 Why feedback? Open and closed loops (2)
- feedback linearisation Control engineering 4.6 Lyapunov stability and nonlinear control
- feedforward Control engineering 3.3 Nonlinear reality: saturation, windup, feedforward and gain scheduling
- Fermat's principle 6.1 Calculus of variations (1)
- first-order lag Control engineering 1.2 How systems respond: basic elements and the step response (2)
- first-order linear equation, integrating factor 4.1 Ordinary differential equations
- forced oscillations and resonance 4.1 Ordinary differential equations (2)
- Fourier series 4.2 Fourier series (3)
- Fourier transform 4.3 The Fourier transform and the Dirac delta (1)
- function 0.1 Numbers, powers, logarithms and elementary functions (3)
- functional 6.1 Calculus of variations (2)
- functions of several variables, level sets 1.4 Differential calculus in practice
- fundamental theorem of calculus 1.5 Integrals
- gain and phase margins Control engineering 2.4 Loop stability: the −1 point, margins and delay (2)
- gain scheduling Control engineering 3.3 Nonlinear reality: saturation, windup, feedforward and gain scheduling (4)
- Gaussian integral 3.3 Double and triple integrals (2)
- geometric series 1.6 Series and power series (3)
- gradient and directional derivative 1.4 Differential calculus in practice (7)
- graph of a function 0.1 Numbers, powers, logarithms and elementary functions (1)
- graph transformations 0.1 Numbers, powers, logarithms and elementary functions (1)
- gravity assist Astronautics 8 Gravity assists
- gravity turn Astronautics 4 Rocket to orbit: the rocket equation, staging and the gravity turn (1)
- Green's theorem 3.6 The theorems of Green, Stokes and Gauss
- ground track Astronautics 2 Orbital elements, Kepler's equation and the ground track
- Hohmann transfer Astronautics 5 Orbital manoeuvres: the Hohmann transfer and plane changes (2)
- hyperbolic excess speed v∞ Astronautics 7 Spheres of influence and interplanetary transfers (2)
- hyperbolic functions 0.3 Trigonometry and hyperbolic functions (4)
- improper integral 1.5 Integrals (4)
- impulse and step response 4.4 The Laplace transform (1)
- inequality 0.2 Equations, inequalities, polynomials and partial fractions (1)
- inertia tensor Flight dynamics 2 The rigid body in 3D: the inertia tensor, Euler's equations and the intermediate axis (1)
- initial value problem 4.1 Ordinary differential equations
- integration by parts 1.5 Integrals
- integration by substitution 1.5 Integrals (1)
- integrator windup Control engineering 3.3 Nonlinear reality: saturation, windup, feedforward and gain scheduling (2)
- inverse function 0.1 Numbers, powers, logarithms and elementary functions (2)
- inverse matrix 2.1 Matrices, determinants and linear systems
- inverse trigonometric functions 0.3 Trigonometry and hyperbolic functions (4)
- Jacobian, change of variables 3.3 Double and triple integrals
- Kalman filter Control engineering 4.4 The Kalman filter (2)
- Kepler's equation Astronautics 2 Orbital elements, Kepler's equation and the ground track
- Lagrange multipliers 3.1 Multivariable chain rule, extrema and Lagrange multipliers
- Lambert's problem Astronautics 9 Lambert's problem and porkchop plots
- Laplace transform 4.4 The Laplace transform (2)
- Laplace's equation 4.7 PDEs: the wave, diffusion and Laplace equations
- Laplacian 3.5 Flux, divergence and curl (2)
- lateral motion Flight dynamics 7 Lateral motion: roll, spiral and Dutch roll (1)
- lead–lag compensator Control engineering 2.5 Disturbances, noise and sensitivity: S, T and loop shaping
- least squares 5.2 Measurement statistics and curve fitting (2)
- lift, drag and aerodynamic coefficients Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces (2)
- limit cycle 4.6 Nonlinear systems, phase plane and stability
- limit of a function 1.2 Sequences, limits and continuity (2)
- limit of a sequence 1.2 Sequences, limits and continuity (2)
- line integral, work, circulation 3.4 Line integrals, conservative fields and exact differentials (2)
- linear approximation 1.4 Differential calculus in practice (1)
- linear function 0.1 Numbers, powers, logarithms and elementary functions (3)
- linear map 2.2 Linear maps: rotations, change of basis, Lorentz transformation (1)
- linear system of ODEs 4.5 Linear systems and state space
- linear systems, Gaussian elimination 2.1 Matrices, determinants and linear systems (1)
- linearisation about an equilibrium 4.6 Nonlinear systems, phase plane and stability (4)
- lines and planes in space 1.1 Vectors (1)
- logarithm 0.1 Numbers, powers, logarithms and elementary functions (8)
- Lorentz transformation 2.2 Linear maps: rotations, change of basis, Lorentz transformation (1)
- LQG Control engineering 5.2 LQG and robustness
- LQR controller Control engineering 4.3 LQR: a cost instead of poles (4)
- Lyapunov function and Lyapunov stability Control engineering 4.6 Lyapunov stability and nonlinear control
- matrix and matrix operations 2.1 Matrices, determinants and linear systems (5)
- matrix exponential 4.5 Linear systems and state space (2)
- Maxwell's equations, integral and differential form 3.6 The theorems of Green, Stokes and Gauss (1)
- mean value theorem 1.4 Differential calculus in practice
- measurement noise Control engineering 1.1 Why feedback? Open and closed loops (3)
- measurement uncertainty 0.5 Units, dimensional analysis, estimation and measurement uncertainty (2)
- multivariable chain rule 3.1 Multivariable chain rule, extrema and Lagrange multipliers
- Newton's method (root finding) 6.2 Numerical methods: Python and C++ (4)
- non-minimum-phase zero Control engineering 2.2 Closed-loop poles and zeros, root locus (1)
- normal distribution 5.1 Probability and distributions (3)
- normal modes 2.3 Eigenvalues and eigenvectors (1)
- numerical integration 1.5 Integrals (1)
- Nyquist criterion Control engineering 2.4 Loop stability: the −1 point, margins and delay
- observability Control engineering 4.2 State observers and observability
- open loop Control engineering 1.1 Why feedback? Open and closed loops
- orbit equation Astronautics 1 The two-body problem and the orbit equation (2)
- orbital elements Astronautics 2 Orbital elements, Kepler's equation and the ground track (3)
- orbital perturbations Astronautics 3 Perturbations: Earth's oblateness, Sun-synchronous orbits and drag
- orbital plane change Astronautics 5 Orbital manoeuvres: the Hohmann transfer and plane changes
- orders of magnitude and estimation 0.5 Units, dimensional analysis, estimation and measurement uncertainty
- orthogonality of functions 4.2 Fourier series
- overshoot Control engineering 1.2 How systems respond: basic elements and the step response (1)
- partial derivative 1.4 Differential calculus in practice (10)
- partial fractions 0.2 Equations, inequalities, polynomials and partial fractions (4)
- passive stabilisation Astronautics 11 A spacecraft without control: spin, dual spin and gravity gradient
- patched conics Astronautics 7 Spheres of influence and interplanetary transfers (1)
- phase plane and classification of fixed points 4.6 Nonlinear systems, phase plane and stability (1)
- phasor 1.7 Complex numbers and phasors (4)
- PI controller Control engineering 1.3 P and PI control in the loop: why the integral removes the error (1)
- PID controller Control engineering 3.1 The PID controller: P, I and D action and steady-state error (7)
- plant Control engineering 1.1 Why feedback? Open and closed loops (1)
- Poisson distribution 5.1 Probability and distributions
- polar and exponential form 1.7 Complex numbers and phasors
- polar coordinates 0.4 Analytic geometry and conic sections (4)
- pole placement Control engineering 4.1 State feedback, pole placement and controllability (2)
- polynomial 0.2 Equations, inequalities, polynomials and partial fractions (4)
- Pontryagin's maximum principle Control engineering 5.1 Pontryagin's maximum principle, time-optimal control and the shooting method (1)
- porkchop plot (launch windows) Astronautics 9 Lambert's problem and porkchop plots
- power 0.1 Numbers, powers, logarithms and elementary functions (2)
- power series, radius of convergence 1.6 Series and power series (1)
- pressure, Pascal's law and buoyancy Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces
- principle of least action 6.1 Calculus of variations
- probability 5.1 Probability and distributions (2)
- propagation of uncertainty 1.4 Differential calculus in practice (1)
- quadratic equation 0.2 Equations, inequalities, polynomials and partial fractions (2)
- quadratic function 0.1 Numbers, powers, logarithms and elementary functions (2)
- radian measure 0.3 Trigonometry and hyperbolic functions (1)
- random variable, expectation, variance 5.1 Probability and distributions (2)
- real numbers 0.1 Numbers, powers, logarithms and elementary functions (1)
- related rates 1.3 Derivatives
- relative orbital motion Astronautics 6 Relative motion and orbital rendezvous
- Reynolds number Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces
- Riccati equation Control engineering 4.3 LQR: a cost instead of poles
- robustness Control engineering 5.2 LQG and robustness
- root 0.1 Numbers, powers, logarithms and elementary functions (1)
- root locus Control engineering 2.2 Closed-loop poles and zeros, root locus (2)
- roots of unity 1.7 Complex numbers and phasors
- rotation matrix 2.2 Linear maps: rotations, change of basis, Lorentz transformation (2)
- Routh–Hurwitz criterion Control engineering 2.2 Closed-loop poles and zeros, root locus
- Runge–Kutta method 6.2 Numerical methods: Python and C++ (4)
- sampling and discretisation Control engineering 3.4 Digital control: sampling, the Z-transform and the controller in code (1)
- saturation Control engineering 1.3 P and PI control in the loop: why the integral removes the error (2)
- scalar and vector fields 3.4 Line integrals, conservative fields and exact differentials (1)
- scalar triple product 1.1 Vectors (1)
- scientific notation 0.1 Numbers, powers, logarithms and elementary functions (2)
- sensitivity function Control engineering 2.5 Disturbances, noise and sensitivity: S, T and loop shaping (2)
- sensor fusion Control engineering 4.5 The extended Kalman filter and single-axis sensor fusion (1)
- separable equation 4.1 Ordinary differential equations (1)
- separation of variables, boundary conditions 4.7 PDEs: the wave, diffusion and Laplace equations (1)
- sequence 1.2 Sequences, limits and continuity
- series and convergence 1.6 Series and power series (1)
- settling time Control engineering 1.2 How systems respond: basic elements and the step response
- shooting method Control engineering 5.1 Pontryagin's maximum principle, time-optimal control and the shooting method (1)
- SI units 0.5 Units, dimensional analysis, estimation and measurement uncertainty
- significant figures 0.5 Units, dimensional analysis, estimation and measurement uncertainty
- six-degree-of-freedom equations of motion Flight dynamics 10 Six-degree-of-freedom simulation: putting the aircraft together
- sliding mode control Control engineering 4.6 Lyapunov stability and nonlinear control
- spectrum 4.2 Fourier series
- sphere of influence Astronautics 7 Spheres of influence and interplanetary transfers
- spherical coordinates 3.2 Polar, cylindrical and spherical coordinates (5)
- spherical harmonics (outline) 4.7 PDEs: the wave, diffusion and Laplace equations (1)
- stability augmentation Flight dynamics 8 Stability augmentation: yaw and pitch dampers
- stability derivatives Flight dynamics 5 Flight in the plane of symmetry: the longitudinal model and stability derivatives (3)
- state observer (Luenberger) Control engineering 4.2 State observers and observability (1)
- state space 4.5 Linear systems and state space (7)
- static stability Flight dynamics 4 Static stability and trim: why an aircraft has a tail (1)
- steady-state error Control engineering 1.3 P and PI control in the loop: why the integral removes the error (1)
- Stirling's formula 5.1 Probability and distributions (1)
- Stokes' theorem 3.6 The theorems of Green, Stokes and Gauss (2)
- summation notation Σ 0.2 Equations, inequalities, polynomials and partial fractions (5)
- superposition principle 4.1 Ordinary differential equations (2)
- surface integral, flux 3.5 Flux, divergence and curl (3)
- symplectic (leapfrog) method 6.2 Numerical methods: Python and C++
- system identification Control engineering 1.2 How systems respond: basic elements and the step response (1)
- system of two equations 0.2 Equations, inequalities, polynomials and partial fractions (3)
- Taylor polynomial 1.4 Differential calculus in practice (4)
- Taylor series 1.6 Series and power series (2)
- the number e 0.1 Numbers, powers, logarithms and elementary functions (2)
- thrust vector control Flight dynamics 11 The rocket: attitude and thrust vectoring (1)
- time constant Control engineering 1.2 How systems respond: basic elements and the step response (1)
- total differential 1.4 Differential calculus in practice (2)
- trajectory tracking Flight dynamics 12 Guidance: the nominal trajectory and tracking deviations
- transfer function, poles and zeros 4.4 The Laplace transform (4)
- trigonometric functions 0.3 Trigonometry and hyperbolic functions (10)
- trigonometric identities 0.3 Trigonometry and hyperbolic functions (2)
- trim Flight dynamics 4 Static stability and trim: why an aircraft has a tail (1)
- triple integral 3.3 Double and triple integrals (1)
- Tsiolkovsky rocket equation Astronautics 4 Rocket to orbit: the rocket equation, staging and the gravity turn (1)
- two-body problem Astronautics 1 The two-body problem and the orbit equation
- type A and type B uncertainty 5.2 Measurement statistics and curve fitting
- undetermined coefficients 4.1 Ordinary differential equations
- unit quaternion Flight dynamics 1 Attitude in 3D: rotation matrices, Euler angles, axis–angle and quaternions (4)
- unit vector 1.1 Vectors
- vector 1.1 Vectors (5)
- vector components 1.1 Vectors (2)
- vector projection 1.1 Vectors
- velocity and acceleration as derivatives 1.3 Derivatives (2)
- vis-viva equation Astronautics 1 The two-body problem and the orbit equation (3)
- viscosity Physics 10 Fluids: pressure, flow, viscosity and aerodynamic forces
- wave equation 4.7 PDEs: the wave, diffusion and Laplace equations (1)
- Z-transform Control engineering 3.4 Digital control: sampling, the Z-transform and the controller in code
- Δv budget Astronautics 4 Rocket to orbit: the rocket equation, staging and the gravity turn (2)
- χ² test 5.2 Measurement statistics and curve fitting