Control Problems of Nonlinear Systems with Applications 2021View this Special Issue
Finite-Time Simultaneous Stabilization of a Set of Nonlinear Singular Systems
This study addresses the problems of finite-time simultaneous stabilization for two nonlinear singular systems and more than two nonlinear singular systems. First, we design a suitable output feedback controller and combine the two nonlinear singular systems to generate an augmented system by using an augmented technique. Based on a sufficient condition of the augmented system impulse-free, an important result, that is, the augmented system is finite-time stabilization is presented. Then, the finite-time stabilization problem of more than two singular systems is investigated by dividing the N systems into two sets. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed finite-time stabilization controller for two nonlinear singular systems.
In recent years, the singular system has attracted extensive attention of researchers, which is also called the descriptor system, generalized state-space system, differential-algebraic system, and so on. Due to its unique properties and structure, the singular system is more complex than the normal state-space system. It needs to consider impulse-free (continue-time system) or causality (discrete-time system), regularity, and stable .
It is worth pointing out that the simultaneous stabilization problem of the normal state-space system is introduced in 1982. Abundant results of simultaneous stabilization have been obtained in recent years [2–6]. In , several simultaneous external and internal stabilization problems have been considered under appropriate adaptive low-and-high gain feedback controllers. Simultaneous stabilization of linear systems has been solved by the static output feedback in . In , the simultaneous stabilization of the multiinput-multioutput system has been investigated to develop a stabilizing controller. A necessary and sufficient condition for the existence of simultaneously quadratically stabilizing state feedback laws is derived for a collection of single-input discrete-time nonlinear systems in . In , simultaneous stabilization of a set of nonlinear port-controlled Hamiltonian systems is investigated by using the dissipative Hamiltonian structural properties. Subsequently, some results of simultaneous stabilization are obtained for singular systems [7, 8]. Simultaneous stabilization problems are investigated for nonlinear singular systems with actuator saturation by using a suitable output feedback in  and an uncertain singular system with input saturation via using linear matrix inequalities in , respectively.
By the virtue of the method of simultaneous stabilization, the finite-time simultaneous stabilization problem is considered for the nonlinear singular system. Definition of finite-time stabilization is proposed for the linear system [9, 10] and then extended to the linear singular system . Furthermore, the finite-time stabilization is investigated for the nonlinear discrete-time Hamiltonian singular system . Finite-time stabilization, which is different from asymptotic stability [13–17], is used to describe that the state does not exceed a certain bound during a fixed finite-time interval. The finite-time stabilization of the nonlinear continue-time singular system and nonlinear discrete-time singular system is investigated via the state-undecomposed method in [18, 19], respectively. In , the stochastic finite-time filtering issue for a class of nonlinear continuous-time singular semi-Markov jump systems is discussed in the forms of strict LMIs. While, stability of the robust finite-time for linear singular Markovian jump systems with impulsive effects and time-varying norm-bounded disturbance is considered under the designed state feedback controller and estimation of domain of attraction in . To our best knowledge, a few results are presented for finite-time simultaneous stabilization of the singular system. In , finite-time control and fault detection are studied simultaneously for the singular system via the average dwell time approach and using some novel integral inequalities. When it comes to the nonlinear singular system, the finite-time simultaneous stabilization of two nonlinear singular systems and more than two nonlinear singular systems is considered in this study. It is worth noticing that it is also called finite-time stability, i.e., states of the system reach the equilibrium point within a fixed time T and stay at the equilibrium point when t T [23–29]. The finite-time robust stabilization problem of general nonlinear time-delay systems is studied based on the Hamiltonian function method and observer design in . In , the finite-time stabilization is investigated for a class of singular systems by the constructed new Lyapunov functional, while the finite-time robust simultaneous stabilization and adaptive robust simultaneous stabilization have been investigated for nonlinear systems with time delay in [28, 29], respectively.
In this study, our goal is to discuss the simultaneous stabilization problem of two nonlinear singular systems or more than two nonlinear singular systems and propose the designed method of the output feedback controller. The study is divided into three parts. (i) Two nonlinear singular systems discussed about state bound in finite-time interval under the nonlinear function need not to satisfy the Lipschitz condition, and the suitable output feedback law is constructed. (ii) Based on the above method, finite-time simultaneous stabilization of more than two nonlinear singular systems is studied by dividing the N systems into two sets. (iii) The numerical example of two nonlinear singular systems is used to illustrate the validity of the proposed finite-time stable controller.
2. Finite-Time Simultaneous Stabilization of Two Nonlinear Singular Systems
Consider the following two nonlinear singular systems:where and are the states of the two systems, is the control input, are the outputs, is the singular matrix, and rank ; , , is a sufficiently smooth vector field with proper dimensions, .
Definition 1. (see ). A control law is called an admissible control law, if for any initial condition , the resulted closed-loop descriptor system has no impulsive solution, and accordingly, the original system is called impulse controllable.
Lemma 1. (see ). If a scalar function with has continuous th order partial derivatives, then can be expressed aswhere are the scalar functions.
As mentioned above, the two systems can be described as follows:We can design an output feedback controller:where is a symmetric matrix. Substituting (6) into systems (4) and (5), the systems can be given as follows:Combine the two closed-loop singular systems (7) and (8) into an augmented system:where
Lemma 2. If , then system (9) is impulse-free.
Proof. From , we know . So, there exist two nonsingular matrices , such thatDenotewhere , , and . Then, system (9) can be expressed as follows:Noticing thatwe can obtain that , which implies that the index of equivalent closed-loop singular system (9) is one at the equilibrium point 0, that is, system (9) is impulse-free.
Next, we present the definition of the finite-time simultaneous stable.
Definition 2. The two nonlinear singular systems (4) and (5) are said to be the finite-time simultaneous stable (FTSS) with respect to , with and , if , such that , where , , and , .
Based on augmented system (9), we give the following result of the finite-time simultaneous stable of systems (4) and (5).
Theorem 1. If there exist symmetric positive definite matrices , , and , such thatThen, under the output feedback control law (6), the nonlinear singular systems (4) and (5) are finite-time simultaneous stable with respect to , where, , , , , and and indicate the maximum and minimum eigenvalues of the argument, respectively.
Proof. According to Lemma 2 and condition (17), it is clear that augmented system (9) is impulse-free. Choose the Lyapunov functioni.e., , where .
Based on system (9),Under condition (15), there isFurthermore, by integrating the inequality (21) between 0 and t, it is clear thatConsider the following chain of inequalities:where , and .
If , taking account of (16), (22)–(24), it can be deduced thatHence, system (9) is finite-time stable with respect to .
To proceed further, systems (4) and (5) can be finite-time simultaneous stabilization with respect to .
3. Finite-Time Simultaneous Stabilization of More than Two Nonlinear Singular Systems
Consider nonlinear singular systems:where , , and are the states, the outputs, and the inputs of the systems, respectively; , , and .
Suppose that is an arbitrary permutation of and that is a position integer satisfying . Denote and . We divide the systems into two sets:where
Design an output feedback controller:where matrix is the symmetric. Substitute (31) into systems (28) and (29), respectively. Then, the closed-loop systems can be given as follows:By the system-augmentation technique, systems (32) and (33) can be transformed aswhere
Based on Theorem 1, we can obtain the following result.
Theorem 2. If there exists a positive scalar and symmetric positive definite matrices , , such thatthen, under the output feedback control law (31), system (26) is finite-time simultaneous stabilization with respect to , where , , , and are the same as those in Theorem 1. Noted that,
Proof. Taking the same as Theorem 1, system (34) is impulse-free depending on Lemma 2 and condition (38). We choose a Lyapunov function , where , and are the symmetric positive definite matrices.
Based on conditions (36) and (37), we haveTo sum up,By integrating inequality (41) between 0 and T with , the following result can be presented:Next, we will prove the finite-time simultaneous stabilization for more than two nonlinear singular systems.
It is straightforward to seewhere , and . According to the concept of finite-time simultaneous stable, from and (37), we can obtainBy using the similar method as that in Theorem 1, system (34) is finite-time stable with respect to , and it can be shown that system (26) is finite-time simultaneous stabilization with respect to .
4. Illustrative Example
In this section, we present an example to illustrate the effectiveness of the proposed method which addresses the finite-time simultaneous stabilization problem of the two nonlinear singular systems.
Example 1. Consider the two nonlinear singular systems:where , we give the following parameters:Based on Lemma 1, it can deduce thatDesign an output feedback controllerSubstituting (49) into systems (45) and (46), respectively, we obtainBased on form (9), we havewhereChooseAccording to Lemma 2, we can easy check that the augmented system is impulse-free.
Next, we give Lyapunov function , where Let By the virtue of conditions (15) and (16) in Theorem 1, we haveChoose the initial state and , then , the trajectory of . Denote and . The trajectories of , and , state response, and control signal are shown in Figures 1–3, respectively. Obviously, the augmented nonlinear singular system (52) is finite-time stable with respect to . Hence, under the output feedback controller (49), systems (45) and (46) are finite-time simultaneous stabilization.
The finite-time simultaneous stabilization problem is considered for the two nonlinear singular systems or more than two nonlinear singular systems in this study. Under a suitable output feedback controller, the augmented singular system is first proved to be impulse-free and then is proved to be finite-time simultaneous stable by using the system-augmented technique. Finally, the finite-time simultaneous stabilization problem of more than two nonlinear singular systems is investigated with the same method. Moreover, the proposed method in this study can be extended to handle finite-time simultaneous stabilization of the two or more than two nonlinear singular systems.
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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