Tags: JuliaControl/ModelPredictiveControl.jl
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[Diff since v1.14.0](v1.14.0...v1.14.1) **Merged pull requests:** - doc: clearer sentences in `getinfo` (#292) (@franckgaga) - added: optimal nonlinear constraint vectors in `getinfo` (#294) (@franckgaga) - Bump version from 1.14.0 to 1.14.1 (#295) (@franckgaga)
[Diff since v1.13.3](v1.13.3...v1.14.0) - added: derivatives in `getinfo` dictionnary for `NonLinMPC` and `MovingHorizonEstimator` **Merged pull requests:** - build(deps): bump actions/checkout from 5 to 6 (#288) (@dependabot[bot]) - bench: added `getinfo` function in unit tests (#289) (@franckgaga) - added: derivatives in `getinfo` dictionnary for `NonLinMPC` and `MovingHorizonEstimator` (#290) (@franckgaga)
[Diff since v1.13.2](v1.13.2...v1.13.3) - added: `RandomOrder` in default sparse backend for `jacobian` and `hessian` in `NonLinMPC` and `MovingHorizonEstimator` It should be non-breaking in most cases. It's only a performance improvements to potentially reduce the number of colors for differentiation. **Merged pull requests:** - added: `RandomOrder` in default sparse Jacobian and Hessian backends (#286) (@franckgaga) - bench: new EMPC tests with `hessian=true` (#287) (@franckgaga)
[Diff since v1.13.1](v1.13.1...v1.13.2) - changed: new default sparse backend for `jacobian` and `hessian` in `NonLinMPC` and `MovingHorizonEstimator` It should be non-breaking in most cases. It's only a performance improvements to potentially reduce the number of colors for differentiation **Merged pull requests:** - Modify MPC setup to use MovingHorizonEstimator (#281) (@franckgaga) - Fix typo in README for MovingHorizonEstimator (#282) (@franckgaga) - changed: better `jacobian` and `hessian` defaults for the sparse case in `NonLinMPC` and `MovingHorizonEstimator` (#283) (@franckgaga) - bench: add custom constraint tests with `hessian=true` (#284) (@franckgaga) - changed: sparse backends default to post-processing (#285) (@franckgaga) **Closed issues:** - Fiddling with the coloring (#280)
[Diff since v1.13.0](v1.13.0...v1.13.1) - debug: prepare AD with `rand` constant contexts - debug: only fills non-zeros in `∇²f` of `@operator` **Merged pull requests:** - debug: prepare AD with `rand` constant contexts (#278) (@franckgaga) - debug: only fills non-zeros in `∇²f` of `@operator` (#279) (@franckgaga) **Closed issues:** - Support exact Hessians of Lagrangian `NonLinMPC` and `MovingHorizonEstimator` (#181)
[Diff since v1.12.0](v1.12.0...v1.13.0) - added: `hessian` keyword argument in `NonLinMPC` for exact Hessian of Lagrangian 🎯 - added: `hessian` keyword argument in `MovingHorizonEstimator` for exact Hessian of Lagrangian 🎯 - added: `trunc_cov` function for MHE (to optimize perf. of dot in objective function) **Merged pull requests:** - test: adding trivial tests with `oracle=false` (#271) (@franckgaga) - added: `lastu` keyword argument to `moveinput!` (#274) (@franckgaga) - added: `hessian` keyword argument in `NonLinMPC` (#275) (@franckgaga) - added: `trunc_cov` function for MHE (to optimize perf. of `dot` in objective function) (#276) (@franckgaga) - added: `hessian` keyword argument for `MovingHorizonEstimator` (#277) (@franckgaga)
[Diff since v1.11.1](v1.11.1...v1.12.0) - added: `oracle=true` option in `NonLinMPC` to significantly improve performances under nonlinear constraints 🚀 (default with `Ipopt.jl`) - added: `oracle=true` option in `MovingHorizonEstimator` to significantly improve performances under nonlinear constraints 🚀 (default with `Ipopt.jl`) **Merged pull requests:** - Experimentation: testing `Ipopt._VectorNonlinearOracle` (#229) (@franckgaga) - doc: minor precision in strictly proper system assumption (#263) (@franckgaga) - debug: do not warn `cond(H̃)` in `NonLinMPC` if `Ewt≠0` (#264) (@franckgaga) - changed: differentiating only non-`Inf` constraints in `NonLinMPC` (#267) (@franckgaga) - added: use `Ipopt._VectorNonlinearOracle` in `MovingHorizonEstimator` (#268) (@franckgaga) - added: migration to `MOI.VectorNonlinearOracle` (#269) (@franckgaga) - added: `oracle` option in `NonLinMPC` and `MovingHorizonEstimator` (#270) (@franckgaga)
[Diff since v1.11.0](v1.11.0...v1.11.1) - added: `progress` keyword argument in `sim!` to disable progress logs - added: ill-conditioned QP warning at controller construction - removed: less useful workload in `precompile.jl` to accelerate precompilation **Merged pull requests:** - added: `progress` keyword argument in `sim!` to disable progress logs (#260) (@franckgaga) - added: ill-conditioned QP warning at controller construction (#261) (@franckgaga) - removed: less useful workload in `precompile.jl` (#262) (@franckgaga) **Closed issues:** - Multi-threaded `MultipleShooting` and `TrapezoidalCollocation` (#257)
[Diff since v1.10.0](v1.10.0...v1.11.0) - added: multithreading with `MultipleShooting` and `TrapezoidalCollocation` - test: multithreading with `MultipleShooting` and `TrapezoidalCollocation` - bench: case studies with multithreading on the pendulum **Merged pull requests:** - doc: update pendulum exemple to MTK v10 in the manual (#251) (@franckgaga) - doc: details on proper systems in `LinModel` extended help (#252) (@franckgaga) - bench: only run bench if `benchmark` appears in label (#254) (@franckgaga) - added: multithreading with `MultipleShooting` and `TrapezoidalCollocation` (#258) (@franckgaga) - Update transcription.jl (#259) (@franckgaga)
[Diff since v1.9.3](v1.9.3...v1.10.0) - added: `covestim` in `MovingHorizonEstimator` now supports `SteadyKalmanFilter` for a constant arrival covariance $\mathbf{\bar{P}}$ **Merged pull requests:** - doc: add arXiv badge (#247) (@franckgaga) - added: `covestim` in `MovingHorizonEstimator` now supports `SteadyKalmanFilter` (#248) (@franckgaga) - Bump version (#249) (@franckgaga)
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