### Table 3: Nonlinear dynamic model with trend

"... In PAGE 17: ... Turning to the model of income dynamics, Table 2 gives our estimates of equation (4) without the trend (suppressing the constant term in 4).7 Table3 gives the results including the 7 The sample mean annual income is Yuan 446 per capita at 1985 prices (with a standard deviation of 264), while the corresponding mean for expenditure is Yuan 345 (standard deviation of 166).... ..."

### Table 3: Nonlinear dynamic model with trend

"... In PAGE 14: ... Turning to the model of income dynamics, Table 2 gives our estimates of equation (4) without the trend (suppressing the constant term in 4).7 Table3 gives the results including the 7 The sample mean annual income is Yuan 446 per capita at 1985 prices (with a standard deviation ... ..."

### TABLE I Fuzzy model of the nonlinear dynamic plant.

### Table 2. Solution time (in minutes) for nonlinear dynamic analysis

"... In PAGE 38: ... model under three different conditions: without any intermediate storage, using Oracle database to save the information at every 20 time steps, and using file system to save the information at every 20 time steps. Table2 shows the solution time for the nonlinear dynamic analysis. Since the model is fairly large and some expensive elements (fiber element) and materials (nonlinear) are used in the model, the nonlinear dynamic analysis requires a significant amount of computational time.... ..."

Cited by 1

### TABLE 5. Nonlinear dynamical state and ES ensemble forecast.

1999

Cited by 29

### Table 1. Analogy between the Chirikov criterion in 1-D nonlinear dynamics and the

1999

### Table 7: Mean-Squares Error And CPU Load of Nonlinear Dynamic System

in Bayesian Estimation of Unconstrained Nonlinear Dynamic Systems via Sequential Monte Carlo Sampling

2003

"... In PAGE 25: ...The posterior distributions shown in Figure 8 indicate the bimodal and skewed nature of the distributions. The average MSE and CPU time shown in Table7 conflrm the inability of EKF and MHE to handle such distributions. MHE performs better than EKF, but requires a great deal of computation.... ..."

Cited by 1

### Table 7: Mean-squares error and CPU load of nonlinear dynamic system. EKF MHE SMC

"... In PAGE 25: ... The posterior distributions shown in Figure 8 indicate the bimodal and skewed nature of the distributions. The average MSE and CPU time shown in Table7 conflrm the inability of EKF and MHE to handle such distributions. MHE performs better than EKF, but requires a great deal of computation.... ..."

### TABLE II Fuzzy models of the nonlinear dynamic plant. All models are of the TSK type.

### Table III. Non-linear dynamics of frame: CPU time for St. Venant-Kirchhoff hyper- elasticity with total Lagrangian formulation.

in SUMMARY