“…Here, we will discuss the existence condition of the upper bounds in this paper and [1][2][3][4][5][6][7]. The existence condition of the previous upper matrix bounds in [4][5][6] is that BB T must be nonsingular.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
confidence: 98%
“…So all upper bounds cannot work for this case in [1][2][3][4][5][6][7]. However, according to Lemma 2 and condition (4), we let η = 12, α = 1.5.…”
Section: Example 1 Consider Care (1) With Coefficient Matricesmentioning
confidence: 99%
“…We provide some examples to illustrate related problem. Example 1 in the following illustrates that the upper bounds in [1][2][3][4][5][6][7] are conservative. For any system, the upper bounds (3) and (18) are solvable.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
confidence: 99%
“…The existence condition of the previous upper matrix bounds in [4][5][6] is that BB T must be nonsingular. However, BB T is singular in most control problems, this assumption is very conservative.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
In this paper, for the solution of the continuous algebraic Riccati equation (CARE), we derived two new upper matrix bounds. Compared with the existing results, the newly obtained bounds are less conservative and more practical, which means that the condition for the existence of the upper bounds derived here is much weaker. The advantage of the results is shown by theoretical analysis and numerical examples. Moreover, in redundant optimal control, when we increase the columns of the input matrix, some sufficient conditions are presented to strictly decrease the largest singular value of the feedback matrix by utilizing these upper bounds. We also give some examples to illustrate the effectiveness of these sufficient conditions.
“…Here, we will discuss the existence condition of the upper bounds in this paper and [1][2][3][4][5][6][7]. The existence condition of the previous upper matrix bounds in [4][5][6] is that BB T must be nonsingular.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
confidence: 98%
“…So all upper bounds cannot work for this case in [1][2][3][4][5][6][7]. However, according to Lemma 2 and condition (4), we let η = 12, α = 1.5.…”
Section: Example 1 Consider Care (1) With Coefficient Matricesmentioning
confidence: 99%
“…We provide some examples to illustrate related problem. Example 1 in the following illustrates that the upper bounds in [1][2][3][4][5][6][7] are conservative. For any system, the upper bounds (3) and (18) are solvable.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
confidence: 99%
“…The existence condition of the previous upper matrix bounds in [4][5][6] is that BB T must be nonsingular. However, BB T is singular in most control problems, this assumption is very conservative.…”
Section: Theorem 2 If Condition (4) Is Satisfied Then Solutionmentioning
In this paper, for the solution of the continuous algebraic Riccati equation (CARE), we derived two new upper matrix bounds. Compared with the existing results, the newly obtained bounds are less conservative and more practical, which means that the condition for the existence of the upper bounds derived here is much weaker. The advantage of the results is shown by theoretical analysis and numerical examples. Moreover, in redundant optimal control, when we increase the columns of the input matrix, some sufficient conditions are presented to strictly decrease the largest singular value of the feedback matrix by utilizing these upper bounds. We also give some examples to illustrate the effectiveness of these sufficient conditions.
“…It is difficult to compare the sharpness of them, and we will present two examples in Section 3 to illustrate this. On the other hand, from the literature, we know that lower matrix bounds for the solution of the CARE (1.2) have been presented in Kwon and Pearson (1977) [16], Lee (1997) [17], Choi and Kuc (2002) [4], Davies, Shi, and Wiltshire (2007) [6], and Chen and Lee (2009) [3]. As Chen and Lee (2009) [3] pointed out, to give a general comparison between any parallel lower bounds for the same measure is hard.…”
Abstract. In this paper, by constructing the equivalent form of the continuous algebraic Riccati equation (CARE) and applying some matrix inequalities, a new lower bounds solution of the CARE is proposed. Finally, corresponding numerical examples are provided to illustrate the effectiveness of the results.
New lower matrix bounds are derived for the solution of the continuous algebraic Lyapunov equation (CALE). Following each bound derivation, an iterative algorithm is proposed to derive tighter matrix bounds. In comparison to existing results, the presented results are more concise and are always valid when the CALE has a non-negative definite solution. We finally give numerical examples to show the effectiveness of the derived bounds and make comparisons with existing results.
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