finite_differences_variable_grid_se2.h

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/*********************************************************************
 *
 *  Software License Agreement
 *
 *  Copyright (c) 2020, Christoph Rösmann, All rights reserved.
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
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 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
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 *  You should have received a copy of the GNU General Public License
 *  along with this program.  If not, see <https://www.gnu.org/licenses/>.
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 *  Authors: Christoph Rösmann
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#ifndef FINITE_DIFFERENCES_VARIABLE_GRID_H_
#define FINITE_DIFFERENCES_VARIABLE_GRID_H_
 
#include <mpc_local_planner/optimal_control/finite_differences_grid_se2.h>
 
#include <memory>
 
namespace mpc_local_planner {
 
class FiniteDifferencesVariableGridSE2 : public FiniteDifferencesGridSE2
{
 public:
    using Ptr  = std::shared_ptr<FiniteDifferencesVariableGridSE2>;
    using UPtr = std::unique_ptr<FiniteDifferencesVariableGridSE2>;
 
    enum class GridAdaptStrategy { NoGridAdapt, TimeBasedSingleStep, TimeBasedAggressiveEstimate, SimpleShrinkingHorizon };
 
    FiniteDifferencesVariableGridSE2()          = default;
    virtual ~FiniteDifferencesVariableGridSE2() = default;
 
    corbo::DiscretizationGridInterface::Ptr getInstance() const override { return std::make_shared<FiniteDifferencesVariableGridSE2>(); }
 
    static corbo::Factory<corbo::DiscretizationGridInterface>& getFactory() { return corbo::Factory<corbo::DiscretizationGridInterface>::instance(); }
 
    void setDtBounds(double dt_lb, double dt_ub);
    void setNmin(int n_min) { _n_min = n_min; }
    void disableGridAdaptation() { _grid_adapt = GridAdaptStrategy::NoGridAdapt; }
    void setGridAdaptTimeBasedSingleStep(int n_max, double dt_hyst_ratio = 0.1, bool adapt_first_iter = false);
    void setGridAdaptTimeBasedAggressiveEstimate(int n_max, double dt_hyst_ratio = 0.1, bool adapt_first_iter = false);
    void setGridAdaptSimpleShrinkingHorizon(bool adapt_first_iter = false);
 
 protected:
    bool isDtFixedIntended() const override { return false; }
 
    bool adaptGrid(bool new_run, NlpFunctions& nlp_fun) override;
    bool adaptGridTimeBasedSingleStep(NlpFunctions& nlp_fun);
    bool adaptGridTimeBasedAggressiveEstimate(NlpFunctions& nlp_fun);
    bool adaptGridSimpleShrinkingHorizon(NlpFunctions& nlp_fun);
 
    bool isMovingHorizonWarmStartActive() const override { return false; }
    bool isGridAdaptActive() const override { return true; }
 
    // auto resize stuff
    GridAdaptStrategy _grid_adapt = GridAdaptStrategy::NoGridAdapt;
    int _n_max                    = 1000;
    double _dt_hyst_ratio         = 0.1;
    int _n_min                    = 2;
    bool _adapt_first_iter        = false;
};
 
}  // namespace mpc_local_planner
 
#endif  // FINITE_DIFFERENCES_VARIABLE_GRID_H_