Merge pull request #940 from JuliaControl/DECv4

bump compat DiffEqCallbacks

Author: baggepinnen

Project.toml

@@ -2,7 +2,7 @@ name = "ControlSystems"
 uuid = "a6e380b2-a6ca-5380-bf3e-84a91bcd477e"
 authors = ["Dept. Automatic Control, Lund University"]
 repo = "https://github.com/JuliaControl/ControlSystems.jl.git"
-version = "1.10.4"
+version = "1.10.5"
 
 [deps]
 ControlSystemsBase = "aaaaaaaa-a6ca-5380-bf3e-84a91bcd477e"
@@ -23,7 +23,7 @@ StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Aqua = "0.5"
 ControlSystemsBase = "1.3"
 DelayDiffEq = "5.31"
-DiffEqCallbacks = "2.16, 3"
+DiffEqCallbacks = "2.16, 3, 4"
 ForwardDiff = "0.10"
 Hungarian = "0.6, 0.7"
 OrdinaryDiffEq = "6.60"

lib/ControlSystemsBase/src/matrix_comps.jl

@@ -628,7 +628,7 @@ For more advanced model reduction, see [RobustAndOptimalControl.jl - Model Reduc
 # Extended help
 $(_scaling_notice)
 """
-function baltrunc(sys::ST; atol = sqrt(eps()), rtol = 1e-3, n = nothing, residual=false) where ST <: AbstractStateSpace
+function baltrunc(sys::ST; atol = sqrt(eps(numeric_type(sys))), rtol = 1e-3, n = nothing, residual=false) where ST <: AbstractStateSpace
     sysbal, S, T = balreal(sys)
     if n === nothing
         S = S[S .>= atol]

lib/ControlSystemsBase/test/test_implicit_diff.jl

@@ -3,6 +3,7 @@ using ImplicitDifferentiation
 using ForwardDiff
 using FiniteDifferences
 using ComponentArrays
+using Test, LinearAlgebra
 fdgrad(f, x) = FiniteDifferences.grad(central_fdm(3, 1), f, x) |> first
 
 P = ssrand(1, 1, 2)