Nonlinear Model

Single tank nonlinear model using simuling and linearization of it to find the transfer funtion. Response ot the linear and nonlinear system comparision Platforms: Matlab

content:+ m-file of the nonlinear model+ m-file linearization+ simulink models for the simulation system Platforms: Matlab

This ZIP file contains the nonlinear model of anF-16 fighter aircraft in MATLAB/Simulink, Both high-fidelity and low-fidelity aerodynamic data are available, taken from NASA report 1538 and "Aircraft Control and Simulation" by Lewis & Stevens.A trim function is also included.F16dyn.c and... Platforms: Matlab

Single tank system nonlinear model was develop & finding the operating point of it using script file of the matlab with solving of ode for it and ploting the response Platforms: Matlab

process from the Book of Smith, Corripio - Automatic Process ControlContent:+ m-file linearization of nonlinear model+ m-file definition of the nonlinear model+ simulink models for the simulation of the process Platforms: Matlab

The Ejs Duffing Oscillator model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya*t), where each prime denotes a time derivative. The simulation displays the solution as well as the phase space and Poincare plots, and energy diagram.... Platforms: Mac

The Ejs Duffing Phase model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the evolution of a group of oscillators with similar initial parameters on a phase... Platforms: Mac

The Ejs Duffing Attractor model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN* x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays a three-dimensional plot of phase space versus angle and three Poincare plots... Platforms: Mac

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Mac

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Linux

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Windows

The ADMB (Automatic Differentiation Model Builder) software suite is an environment for non-linear statistical modeling enabling rapid model development, numerical stability, fast and efficient computation, and high accuracy parameter estimates. ADModel Builder is a high level language built... Platforms: Windows

Neural Network Based System Identification Toolbox Version 2The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with neural networks. Several nonlinear model structures based on multilayer perceptron networks are provided and there are also many... Platforms: Matlab

Hydraulic servo actuators (HSAs) are used to precisely control displacement in a wide range of equipment. Generally, a hydraulic servo actuator consists of a hydraulic actuator controlled by a directional control valve of an infinite number of positions and equipped with a feedback arrangement.... Platforms: Matlab

The program determines the constants Rmax and Km of the Michaelis-Menten model using data given in Fundamentals of Chemical Reaction Engineering by M. E. Davis & R. J. Davis, McGraw Hill, 2003. This data represents the substrate (catechol) concentration versus time. This data was obtained using... Platforms: Matlab

The package contains a simulink model of a mechanism which verify the angle of the road and adjust the torques by giving a angle to a plate located under the load session.this model is not a very complicated one and would be useful to whom want to:1.get familiar with control designs specially PID... Platforms: Matlab

Three different nonlinear control algorithms are used to control a three degree of freedom PUMA560 robot. These algorithms are:Computed Torque Control, Sliding Mode and Backstepping Control.The robot dynamics are taken from:Brian Armstrong, Oussama Khatib & Joel Burdick , d-deDUThe Explicit... Platforms: Matlab

The art of fitting a nonlinear regression model often starts with choosing a model form. This submission is an attempt to teach the reader a simple but general paradigm for their models as a sum of fundamental shapes that are then shifted and scaled to fit the data.I've included a bestiary of... Platforms: Matlab

The Rocking Semicircular Hoop model shows the dynamics of a simple object rocking without slipping on a horizontal surface. It is a supplemental simulation for an article by Leaf Turner and Ari Turner "Asymmetric rolling bodies and the phantom torque" in the Am. J. Phys. 78, 905 (2010). The... Platforms: Mac

The Ejs Duffing Chaos model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays two solutions with different initial positions and a plot of phase. The evolution... Platforms: Mac