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Nonlinear L1 and L identifications forcontinuous systems with applications to class 1 robot manipulator andcomplex chemical equilibrium computations

机译:连续系统的非线性L 1 和L 辨识及其在1类机器人操纵器中的应用以及复杂的化学平衡计算

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This paper presents the nonlinear L1 and L∞n programming methods in the identifications of nonlinearncontinuous systems with successful applications in estimating thendynamic parameters of class 1 manipulator and in solving the complexnchemical equilibrium problems. Reaction by injecting methane gas atn300° K into air surroundings at 700° K is used to illustrate thenapplicability of the nonlinear L-simplexnidentification in complex chemical equilibrium problems. The nonlinear Ln-simplex minimization technique is proposed tondetermine a good approximated set of moles of dominant species bynminimizing the maximum error of linear and nonlinear physicalnconstraints due to equilibrium reaction. Eight dynamic parameters of thenthree-link class 1 robot manipulator are estimated by using thennonlinear L-simplex optimization method withnobservation data obtained by simulating the robot dynamics motion due tonzero applied torques on all three joints. The estimated dynamicnparameters agree extremely well with the true nominal values providednthe parameters are fully or at least identifiable in nature
机译:提出了非线性L 1 和L ∞n的编程方法,用于非线性连续系统的辨识,并成功地用于估计1类机械手的动力学参数和解决复杂的化学平衡问题。通过将温度为300°K的甲烷气体注入700°K的空气中进行反应,来说明非线性L -简单识别在复杂化学平衡问题中的适用性。提出了一种非线性的Ln -最小化技术,通过最小化由于平衡反应而产生的线性和非线性物理约束的最大误差,确定了一个良好的近似的优势种摩尔集。然后采用非线性L -单纯形最优化方法估计三连杆1类机器人操纵器的八个动力学参数,并通过模拟在所有三个关节上施加零扭矩施加的机器人动力学运动获得无观测数据。如果参数在本质上是完全或至少可识别的,则估计的动态参数与真实标称值非常吻合

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