Jonnie Diegelman jonniedie

## diffeq_componentarray_property_access.jl
function deep_access(sol, names...)
	return map(sol.u) do u
		reduce(Base.maybeview, names; init=u)
	end
end

## reach_freq.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                jonniedie
                / reach_freq.ipynb
            
            
              Created
              November 5, 2021 18:43
            
              
                Reachable frequency response
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## reach_freq.jl
### A Pluto.jl notebook ###
# v0.16.4

using Markdown
using InteractiveUtils

# ╔═╡ 15da0afe-3e5b-11ec-031f-d9903463dce1
begin
	using ControlSystems
	using IntervalArithmetic

## opt_orbit.jl
### A Pluto.jl notebook ###
# v0.16.1

using Markdown
using InteractiveUtils

# ╔═╡ b2663d22-8605-11eb-17fa-e90e625ac922
using ComponentArrays

# ╔═╡ 932b2cb6-8609-11eb-27d7-a393d81f6d8a

## lotka_sensitivity.jl
using ComponentArrays, DifferentialEquations, Plots, UnPack


## Functions
function lotka!(D, x, p, t)
    @unpack NB, NR = x
    @unpack ϵ₁, ϵ₂, γ₁, γ₂ = p

    D.NB =  ϵ₁*NB - γ₁*NR*NB
    D.NR = -ϵ₂*NR + γ₂*NR*NB

## mtk_optimal_control.jl
using DifferentialEquations
using ModelingToolkit

# Time and time derivative
@parameters t
D = Differential(t)

# Forced Duffing oscillator
function Duffing(; name)
    @parameters α β

## DiffEqFlux_example.jl
## This example comes from https://diffeqflux.sciml.ai/dev/Flux/

using ComponentArrays
using OrdinaryDiffEq
using Plots
using UnPack

using DiffEqFlux: sciml_train
using Flux: glorot_uniform, ADAM, σ, relu
using Optim: LBFGS
	function deep_access(sol, names...)
	return map(sol.u) do u
	reduce(Base.maybeview, names; init=u)
	end
	end
	### A Pluto.jl notebook ###
	# v0.16.4

	using Markdown
	using InteractiveUtils

	# ╔═╡ 15da0afe-3e5b-11ec-031f-d9903463dce1
	begin
	using ControlSystems
	using IntervalArithmetic
	### A Pluto.jl notebook ###
	# v0.16.1

	using Markdown
	using InteractiveUtils

	# ╔═╡ b2663d22-8605-11eb-17fa-e90e625ac922
	using ComponentArrays

	# ╔═╡ 932b2cb6-8609-11eb-27d7-a393d81f6d8a
	using ComponentArrays, DifferentialEquations, Plots, UnPack


	## Functions
	function lotka!(D, x, p, t)
	@unpack NB, NR = x
	@unpack ϵ₁, ϵ₂, γ₁, γ₂ = p

	D.NB = ϵ₁NB - γ₁NR*NB
	D.NR = -ϵ₂NR + γ₂NR*NB
	using DifferentialEquations
	using ModelingToolkit

	# Time and time derivative
	@parameters t
	D = Differential(t)

	# Forced Duffing oscillator
	function Duffing(; name)
	@parameters α β
	## This example comes from https://diffeqflux.sciml.ai/dev/Flux/

	using ComponentArrays
	using OrdinaryDiffEq
	using Plots
	using UnPack

	using DiffEqFlux: sciml_train
	using Flux: glorot_uniform, ADAM, σ, relu
	using Optim: LBFGS