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📄 rk4.h

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/* -*- indent-tabs-mode:T; c-basic-offset:8; tab-width:8; -*- vi: set ts=8: * $Id: rk4.h,v 2.1 2003/03/03 16:10:22 tramm Exp $ * * (c) Aaron Kahn * (c) Trammell Hudson * * Fourth order Runge Kutta code * ************* * *  This file is part of the autopilot simulation package. * *  For more details: * *	http://autopilot.sourceforge.net/ * *  Autopilot 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 2 of the License, or *  (at your option) any later version. * *  Autopilot is distributed in the hope that it will be useful, *  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. * *  You should have received a copy of the GNU General Public License *  along with Autopilot; if not, write to the Free Software *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA * */#ifndef _RK4_H_#define _RK4_H_namespace libmat{/* * This is a 4th order Runga-Kutta integration routine.  It is designed to * work with a vector of inputs, and produce a vector of outputs at the * next time step. * * A time step input is needed for the dt value, and the number of states * to integrate. There is the requirement that the function to be integrated * is in a specific format... * * The state out of this function is the state at t+dt. */template<	class			state_t,		// State object	class			force_t,		// Forcing values	class			args_t			// Misc params>voidRK4(	state_t &		state,	state_t &		state_dot,	double			t,	const force_t &		force,	const args_t &		args,	double			dt, 	void			(*func)(		state_t &		Xdot_out,	// Derivative output		const state_t &		X_in,		// Current state		const double 		t_in,		// Current time		const force_t &		U_in,		// Forcing values		const args_t &		args		// Misc params	)){	/* backup the original state vector */	const state_t		X0( state );	/* the first step */	func( state_dot, X0, t, force, args );	state_t			X;	state_t			Xdot( state_dot );	state_t			k1( Xdot );	k1 *= dt;#ifdef NO_OPTIMIZATION	X = X0 + k1 / 2.0;#else	((X = k1 ) /= 2.0 ) += X0;#endif	/* the second step */	func( Xdot, X, t + dt / 2.0, force, args );	state_t			k2( Xdot );	k2 *= dt;#ifdef NO_OPTIMIZATION	X = X0 + k2 / 2.0;#else	((X = k2 ) /= 2.0 ) += X0;#endif	/* the third step */	func( Xdot, X, t + dt / 2.0, force, args );	state_t			k3( Xdot );	k3 *= dt;#ifdef NO_OPTIMIZATION	X = X0 + k3;#else	(X = k3) += X0;#endif	/* the forth step */	func( Xdot, X, t + dt, force, args );	state_t			k4( Xdot );	k4 *= dt;	/* make the final result */#ifdef NO_OPTIMIZATION	state = X0		+ k1 / 6.0		+ k2 / 3.0		+ k3 / 3.0		+ k4 / 6.0;#else	state = X0;	k1 /= 6.0;	k2 /= 3.0;	k3 /= 3.0;	k4 /= 6.0;	(((state += k1) += k2) += k3) += k4;#endif}}#endif

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