ilqgames
A new real-time solver for large-scale differential games.
multi_player_dynamical_system.cpp
1 /*
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34  * Authors: David Fridovich-Keil ( dfk@eecs.berkeley.edu )
35  */
36 
37 ///////////////////////////////////////////////////////////////////////////////
38 //
39 // Base class for all multi-player dynamical systems. Supports (discrete-time)
40 // linearization and integration.
41 //
42 ///////////////////////////////////////////////////////////////////////////////
43 
44 #include <ilqgames/dynamics/multi_player_dynamical_system.h>
45 #include <ilqgames/utils/linear_dynamics_approximation.h>
46 #include <ilqgames/utils/types.h>
47 
48 #include <glog/logging.h>
49 
50 namespace ilqgames {
51 
52 VectorXf MultiPlayerDynamicalSystem::Integrate(
53  Time t0, Time time_interval, const VectorXf& x0,
54  const std::vector<VectorXf>& us) const {
55  VectorXf x(x0);
56 
57  if (integrate_using_euler_) {
58  x += time_interval * Evaluate(t0, x0, us);
59  } else {
60  // Number of integration steps and corresponding time step.
61  constexpr size_t kNumIntegrationSteps = 2;
62  const double dt = time_interval / static_cast<Time>(kNumIntegrationSteps);
63 
64  // RK4 integration. See https://en.wikipedia.org/wiki/Runge-Kutta_methods
65  // for further details.
66  for (Time t = t0; t < t0 + time_interval - 0.5 * dt; t += dt) {
67  const VectorXf k1 = dt * Evaluate(t, x, us);
68  const VectorXf k2 = dt * Evaluate(t + 0.5 * dt, x + 0.5 * k1, us);
69  const VectorXf k3 = dt * Evaluate(t + 0.5 * dt, x + 0.5 * k2, us);
70  const VectorXf k4 = dt * Evaluate(t + dt, x + k3, us);
71 
72  x += (k1 + 2.0 * (k2 + k3) + k4) / 6.0;
73  }
74  }
75 
76  return x;
77 }
78 
79 } // namespace ilqgames