
This paper focuses on the stochastic stabilization of hidden semi-Markov jump nonlinear positive systems. First, a notion of stochastic stability is introduced for this class of systems. A criterion is addressed to ensure the stochastic stability using a stochastic copositive Lyapunov function. Then, an observed mode is proposed to estimate the emitted value of the hidden semi-Markov process and the mode-dependent controller is designed using an improved matrix decomposition approach. Some auxiliary variables are added to decouple the coupling terms in hidden semi-Markov jump nonlinear positive systems into a tractable condition. All conditions are described in terms of linear programming. Moreover, the proposed design is developed for systems with partially known emission probabilities. Two examples are provided to show the validity of the obtained results.
Citation: Xuan Jia, Junfeng Zhang, Tarek Raïssi. Linear programming-based stochastic stabilization of hidden semi-Markov jump positive systems[J]. AIMS Mathematics, 2024, 9(10): 26483-26498. doi: 10.3934/math.20241289
[1] | Francesca Marcellini . Existence of solutions to a boundary value problem for a phase transition traffic model. Networks and Heterogeneous Media, 2017, 12(2): 259-275. doi: 10.3934/nhm.2017011 |
[2] | Mauro Garavello . Boundary value problem for a phase transition model. Networks and Heterogeneous Media, 2016, 11(1): 89-105. doi: 10.3934/nhm.2016.11.89 |
[3] | Frederike Kissling, Christian Rohde . The computation of nonclassical shock waves with a heterogeneous multiscale method. Networks and Heterogeneous Media, 2010, 5(3): 661-674. doi: 10.3934/nhm.2010.5.661 |
[4] | Tong Li . Qualitative analysis of some PDE models of traffic flow. Networks and Heterogeneous Media, 2013, 8(3): 773-781. doi: 10.3934/nhm.2013.8.773 |
[5] | Alexandre M. Bayen, Alexander Keimer, Nils Müller . A proof of Kirchhoff's first law for hyperbolic conservation laws on networks. Networks and Heterogeneous Media, 2023, 18(4): 1799-1819. doi: 10.3934/nhm.2023078 |
[6] | Simone Göttlich, Camill Harter . A weakly coupled model of differential equations for thief tracking. Networks and Heterogeneous Media, 2016, 11(3): 447-469. doi: 10.3934/nhm.2016004 |
[7] | Benjamin Seibold, Morris R. Flynn, Aslan R. Kasimov, Rodolfo R. Rosales . Constructing set-valued fundamental diagrams from Jamiton solutions in second order traffic models. Networks and Heterogeneous Media, 2013, 8(3): 745-772. doi: 10.3934/nhm.2013.8.745 |
[8] | Alberto Bressan, Khai T. Nguyen . Conservation law models for traffic flow on a network of roads. Networks and Heterogeneous Media, 2015, 10(2): 255-293. doi: 10.3934/nhm.2015.10.255 |
[9] | Maya Briani, Emiliano Cristiani . An easy-to-use algorithm for simulating traffic flow on networks: Theoretical study. Networks and Heterogeneous Media, 2014, 9(3): 519-552. doi: 10.3934/nhm.2014.9.519 |
[10] | Mauro Garavello, Roberto Natalini, Benedetto Piccoli, Andrea Terracina . Conservation laws with discontinuous flux. Networks and Heterogeneous Media, 2007, 2(1): 159-179. doi: 10.3934/nhm.2007.2.159 |
This paper focuses on the stochastic stabilization of hidden semi-Markov jump nonlinear positive systems. First, a notion of stochastic stability is introduced for this class of systems. A criterion is addressed to ensure the stochastic stability using a stochastic copositive Lyapunov function. Then, an observed mode is proposed to estimate the emitted value of the hidden semi-Markov process and the mode-dependent controller is designed using an improved matrix decomposition approach. Some auxiliary variables are added to decouple the coupling terms in hidden semi-Markov jump nonlinear positive systems into a tractable condition. All conditions are described in terms of linear programming. Moreover, the proposed design is developed for systems with partially known emission probabilities. Two examples are provided to show the validity of the obtained results.
This paper deals with the initial boundary value problem for the phase transition model introduced in [9], consisting of the following
{∂tρ+∂x(ρv(ρ,η))=0∂tη+∂x(ηv(ρ,η))=0, | (1.1) |
where
The system in (1.1) belongs to the class of macroscopic second order traffic models, see [3,23], and it is characterized by two different phases: the Free one and the Congested one. A peculiarity of
In this paper we consider an initial boundary value problem for the model in (1.1) and we prove existence of solutions, provided the initial data and the boundary conditions have finite total variation. More precisely, we fix
{{∂tρ+∂x(ρv(ρ,η))=0∂tη+∂x(ηv(ρ,η))=0 if x∈(a,b),t>0,(ρ,η)(t,a)=(ρa(t),ηa(t)) if t>0,(ρ,η)(t,b)=(ρb(t),ηb(t)) if t>0,(ρ,η)(0,x)=(ρ0(x),η0(x)) if x∈(a,b). | (1.2) |
The initial datum is
In [12] Garavello considered an IBVP for the phase transition model introduced in [4]. We remark here that the model in [9], considered in this paper, and that one in [4], although similar, are different. Indeed Riemann problems for the two systems are solved, in general, in a different way and with a different number of waves. Another difference relies in the derivation: the model in [4] is based on the two phases, the free and the congested, while in [9] the two phases are a consequence of the model by imposing the speed limit
In this paper we use the wave front tracking technique, that is we explicitly construct a piecewise constant approximate solution, we prove that there exists an uniform bound on a functional measuring the strength of the waves and then, we conclude with the existence of a solution obtained by a compactness argument. We remark that, as in [12], the phase transition system with boundary considered in this paper is characteristic, since there are phase transitions waves with zero speed. In general, as usual in conservation laws, imposing characteristic boundary conditions is a delicate topic, see [1,2,11] and Remark 2.
The paper is organized as follows: in the next section we briefly recall the phase transition traffic model introduced in [9]. In Section 3, following the approach in [12], we state and prove the main result concerning the boundary value problem; the proof is divided into three different subsections.
We recall at first the phase transition model introduced in [9]. This model has been derived as an extension of the LWR model, given by the following single conservation law:
∂tρ+∂x(ρV)=0, | (2.1) |
where
{∂tρ+∂x(ρv)=0∂tw+v∂xw=0, | (2.2) |
where
As in [9,14], we recall the following assumptions:
(H-1):
(H-2):
(H-3):
Here,
In (1.1), the two phases, free and congested, are described by the sets
F={(ρ,w)∈[0,R]×[ˇw,ˆw]:v(ρ,ρw)=Vmax}, | (2.3) |
C={(ρ,w)∈[0,R]×[ˇw,ˆw]:v(ρ,ρw)=wψ(ρ)}, | (2.4) |
represented in Figure 1. Note that
We remark that, in the free phase
{∂tρ+∂x(ρVmax)=0∂tη+∂x(ηVmax)=0, | (2.5) |
while, in the congested phase
{∂tρ+∂x(ηψ(ρ))=0∂tη+∂x(η2ρψ(ρ))=0. | (2.6) |
We recall also the eigenvalues, right eigenvectors, and Lax curves
λ1(ρ,η)=ηψ′(ρ)+v(ρ,η),λ2(ρ,η)=v(ρ,η),r1(ρ,η)=[−ρ−η],r2(ρ,η)=[1η(1ρ−ψ′(ρ)ψ(ρ))],∇λ1⋅r1=−d2 dρ2[ρψ(ρ)],∇λ2⋅r2=0,L1(ρ;ρo,ηo)=ηoρρo,L2(ρ;ρo,ηo)=ρv(ρo,ηo)ψ(ρ),ρo<R. |
When
Finally, we list the waves and the notations that we will use in the present paper.
● First family wave: a wave connecting a left state
● Second family wave: a wave connecting a left state
● Linear wave: a wave connecting two states in the free phase.
● Phase transition wave: a wave connecting a left state
Remark 1. We remark hare that model (1.1), considered in this paper, and that one in [4], although similar, are different.
Both models are described by two intersecting phases: the free phase and the two-dimensional congested phase. Note however that, in the model (1.1) the free phase is two-dimensional in the conserved quantity coordinates
The main diffference lies in the solution of the Riemann problem, in particular when the left state belongs to the free phase and the right state to the congested one. In this case the Riemann problem for model (1.1) is solved with at most two waves, while the Riemann problem for the model considered in [4] is solved with at most three waves. See [13,Proposition 3.1,Proposition 3.2].
Also the derivation of the two models is completely different: the construction of the model in [4] is done imposing a priori two phases, the free and the congested one, while in [9] the two phases are obtained as a consequence of the speed limit
Before stating the main result, we introduce the definition of solution to the initial boundary value problem (1.2).
Definition 3.1. The function
(ρ∗,η∗)∈C0([0,+∞[;L1((a,b);F∪C)) |
is a solution to (1.2) if
1. the function
2. for a.e.
3. for a.e.
{{∂tρ+∂x(ρv(ρ,η))=0∂tη+∂x(ηv(ρ,η))=0 if τ>0,x∈R,(ρ,η)(0,x)={(ρa,ηa)(t) if x<a(ρ∗,η∗)(t,a+) if x>a |
admits a self similar solution
(˜ρ,˜η)(τ,a+)=(ρ∗,η∗)(t,a+). |
4. for a.e.
{{∂tρ+∂x(ρv(ρ,η))=0∂tη+∂x(ηv(ρ,η))=0 if τ>0,x∈R,(ρ,η)(0,x)={(ρ∗,η∗)(t,b−) if x<b(ρb,ηb)(t) if x>b |
admits a self similar solution
(˜ρ,˜η)(τ,b−)=(ρ∗,η∗)(t,b−). |
5.
Remark 2. The boundaries treated in this paper are characteristic, since there are phase transition waves with zero speed. Conditions 3 and 4 of Definition 3.1 are exactly the same as the boundary condition in the characteristic case in [1].
We can now state the main result of the paper:
Theorem 3.2. Let assumptions (H-1), (H-2) and (H-3) hold. Fix the initial condition
The proof is contained in the following subsections.
In this subsection we construct piecewise constant approximations via the wave-front tracking algoritm, which is a set of techniques to obtain approximate solutions to hyperbolic conservation laws in one space dimension. These tools were first introduced by Dafermos [10], see also [5,18] for the general theory. We show that every limit point is indeed a solution of the differential problem. The key estimate for compactness of the approximated solutions is a uniform bound of a functional measuring the strength of waves.
At first, we give the following definition of an
Definition 3.3. Given
1.
2.
3.
4. It holds that
{||(ˉρε(0,⋅),ˉηε(0,⋅))−(ρ0(⋅),η0(⋅))||L1(a,b)<ε||(ˉρa,ε,ˉηa,ε)−(ρa,ηa)||L1(0,+∞)<ε||(ˉρb,ε,ˉηb,ε)−(ρb,ηb)||L1(0,+∞)<εTV(ˉρε(0,⋅),ˉηε(0,⋅))≤TV(ρ0(⋅),η0(⋅))TV(ˉρa,ε,ˉηa,ε)≤TV(ρa,ηa)TV(ˉρb,ε,ˉηb,ε)≤TV(ρb,ηb). |
5. It holds that, for a.e.
{(ρa,ε,ηa,ε)(t) if x<a(ˉρε,ˉηε)(t,a+) if x>a |
is solved with waves with negative speed.
6. It holds that, for a.e.
{(ˉρε,ˉηε)(t,b−) if x<b(ρb,ε,ηb,ε)(t) if x>b |
is solved with waves with positive speed.
We consider now three sequences
1.
2. the following limits hold
limν→+∞(ρ0,ν,η0,ν)=(ρ0,η0) in L1((a,b);F∪C)limν→+∞(ρa,ν,ηa,ν)=(ρa,ηa) in L1((0,+∞);F∪C)limν→+∞(ρb,ν,ηb,ν)=(ρb,ηb) in L1((0,+∞);F∪C); |
3. the following inequalities hold
TV(ρ0,ν,η0,ν)≤TV(ρ0,η0)TV(ρa,ν,ηa,ν)≤TV(ρa,ηa)TV(ρb,ν,ηb,ν)≤TV(ρb,ηb). |
Next, for every
Remark 3. We may assume that, at every positive time
1. two waves interact together at a point
2. a wave interacts with the boundary
3.
Given an
Fw(t)=∑x∈Ii|w(ˉuε(t,x+))−w(ˉuε(t,x−))| | (3.1) |
F˜v(t)=∑x∈Ii|˜v(ˉuε(t,x+))−˜v(ˉuε(t,x−))| | (3.2) |
Fa(t)=|w(ˉuε(t,a+))−w(ˉua,ε(t))|+|˜v(ˉuε(t,a+))−˜v(ˉua,ε(t))| | (3.3) |
Fb(t)=|w(ˉuε(t,b−))−w(ˉub,ε(t))|+|˜v(ˉuε(t,b−))−˜v(ˉub,ε(t))| | (3.4) |
F(t)=Fw(t)+F˜v(t)+Fa(t)+Fb(t), | (3.5) |
where, we denote by
The functional
Next we consider interactions estimates of waves. We describe wave interactions by the nature of the involved waves, see [15,16]. For example, if a wave of the second family hits a wave of the first family producing a phase-transition wave, we write
Lemma 3.4. Assume that the wave
Proof. For simplicity, we define
vl=˜v(ρl,ηl),vm=˜v(ρm,ηm),vr=˜v(ρr,ηr),wl=w(ρl,ηl),wm=w(ρm,ηm),wr=w(ρr,ηr). | (3.6) |
We have four different cases.
1. The case
Fw(ˉt+)−Fw(ˉt−)=|wl−wi|+|wi−wr|−|wl−wm|−|wm−wr|. |
Now
Fw(ˉt+)−Fw(ˉt−)=|wl−wr|−|wl−wr|=0. |
Analogously for the functional (3.2), we have that
Fv(ˉt+)−Fv(ˉt−)=|vl−vi|+|vi−vr|−|vl−vm|−|vm−vr| |
and since
Fv(ˉt+)−Fv(ˉt−)=|vl−vr|−|vl−vr|=0. |
Since
2. The case
Fw(ˉt+)−Fw(ˉt−)=|wl−wi|+|wi−wr|−|wl−wm|−|wm−wr|. |
Similarly as before,
Fw(ˉt+)−Fw(ˉt−)=|wl−wr|−|wl−wr|=0. |
For the functional (3.2), we have that
Fv(ˉt+)−Fv(ˉt−)=|vl−vi|+|vi−vr|−|vl−vm|−|vm−vr|. |
Since
Fv(ˉt+)−Fv(ˉt−)=|vl−vr|−|vl−vm|−|vm−vr|=|vl+vm−vm−vr|−|vl−vm|−|vm−vr|≤0. |
Since
3. The case
Fw(ˉt+)−Fw(ˉt−)=|wl−wr|−|wl−wm|−|wm−wr|=0, |
since
Fv(ˉt+)−Fv(ˉt−)=|vl−vr|−|vl−vm|−|vm−vr|≤0. |
Since
4. The case
Fw(ˉt+)−Fw(ˉt−)=|wl−wr|−|wl−wm|−|wm−wr|=0. |
since
Fv(ˉt+)−Fv(ˉt−)=|vl−vr|−|vl−vm|−|vm−vr|≤0. |
Since
The proof is thus completed.
Lemma 3.5. Assume that the wave
Proof. First note that
va,ε=˜v(ˉua,ε(t)),wa,ε=w(ˉua,ε(t)). | (3.7) |
We have the following cases.
1. The case
Since the wave
ΔF(ˉt)=ΔFw(ˉt)+ΔF˜v(ˉt)+ΔFa(ˉt)+ΔFb(ˉt)=0. |
2. The case when the states
In this situation both the states
Thus we have
ΔF(ˉt)=|va,ε−vr|−|va,ε−vl|−|vl−vr|≤0. |
3. The case when the states
In this situation the state
In the case no wave is produced at time
In the case a phase transition wave with positive speed, connecting the states
ΔF(ˉt)=|va,ε−vr|−|vl−vr|−|va,ε−vl|≤0. |
The proof is thus completed.
Lemma 3.6. Assume that the wave
Proof. First note that
1. The case
Since the wave
If
ΔF(ˉt)=ΔFw(ˉt)+ΔF˜v(ˉt)+ΔFa(ˉt)+ΔFb(ˉt)=0. |
If
ΔF(ˉt)=0. |
2. The case when the states
In this situation both the states
If the interacting wave is of the second family, then no wave is generated at time
ΔF(ˉt)≤0. |
If the interacting wave is a phase transition wave with positive speed, then no wave is generated at time
ΔF(ˉt)=0. |
3. The case when the states
In this situation the state
In this case a phase transition wave with negative speed between the states
ΔF(ˉt)=|vl−vb,ε′|−|vl−vr|−|wl−wr|+|wb,ε−wb,ε′|−|vb,ε−vr|=|vl−vb,ε|−|vl−vr|−|vb,ε−vr|≤0. |
4. The case when the states
In this situation both the states
In this case no wave is generated at time
ΔF(ˉt)=|vl−vb,ε|+|wl−wb,ε|−|vr−vb,ε|−|wr−wb,ε|−|vl−vr|−|wl−wr|≤0. |
The proof is thus completed.
Lemma 3.7. Assume that
ΔF(ˉt)≤|w((ˉua,ε)(t+))−w((ˉua,ε)(t−))|+|˜v((ˉua,ε)(t+))−˜v((ˉua,ε)(t−))|. |
Proof. In general, at time
v+=˜v((ˉua,ε)(t+)),v−=˜v((ˉua,ε)(t−)),vm=˜v(um),vr=˜v(ur),w+=w((ˉua,ε)(t+)),w−=w((ˉua,ε)(t−)),wm=w(um),wr=w(ur), |
where
1. The states
If
ΔF(ˉt)=|wm−wr|+|v+−vm|−|v−−vr|=|w+−w−|+|v+−vm|−|v−−vm|≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
2. The states
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
3. The state
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
4. The state
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
The proof is so concluded.
Lemma 3.8. Assume that
ΔF(ˉt)≤|w((ˉua,ε)(t+))−w((ˉub,ε)(t−))|+|˜v((ˉub,ε)(t+))−˜v((ˉua,ε)(t−))|. |
Proof. In general, at time
v+=˜v((ˉub,ε)(t+)),v−=˜v((ˉub,ε)(t−)),vm=˜v(um),vl=˜v(ul),w+=w((ˉub,ε)(t+)),w−=w((ˉub,ε)(t−)),wm=w(um),wl=w(ul), |
where
1. The states
If
ΔF(ˉt)=|wm−w+|−|wl−w−|+|vl−vm|=|wm−w+|−|wm−w−|+|v+−v−|≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|wm−w+|−|vl−v−|+|vl−vm|=|w−−w+|−|vl−v−|+|vl−v+|≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
2. The states
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
3. The state
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)=|w+−w−|+|v+−v−|. |
4. The state
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
If
ΔF(ˉt)≤|w+−w−|+|v+−v−|. |
The proof is so concluded.
Proposition 1. The following estimate holds
F(t)≤M,a.e.t>0, | (3.8) |
where
Proof. This is a consequence of the previous Lemmas 3.4, 3.5, 3.6, 3.7, and 3.8.
Next we aim to bound the number of waves and of interactions. The following result holds.
Proposition 2. The construction in Subsection 3.1 can be done for every positive time and, for every
Proof. We consider the construction in Subsection 3.1 and the function
1. If at time
2. If at time
3. If at time
4. If the time
5. If the time
The number of waves can increase only in the cases 4., and 5. By construction, theese cases happen at most a finite number of times.
The interactions inside the domain
To prove that the number of interactions is finite, we have to consider and to bound the number of interactions of the following types:
1. Inside the domain:
2. Left boundary:
3. Right boundary:
Consider first the interaction
We can next conclude the proof of the Theorem 3.2.
Proof of Theorem 3.2. Fix an
F˜v+Fw≤M. |
The above inequality states that the functional
The author thanks Mauro Garavello for useful discussions. The author was partial supported by the INdAM-GNAMPA 2016 project "Balance Laws: Theory and Applications".
[1] | L. Farina, S. Rinaldi, Positive linear systems: theory and applications, Hoboken: John Wiley & Sons, 2011. |
[2] |
J. Shen, J. Lam, L1-gain analysis for positive systems with distributed delays, Automatica, 50 (2014), 175–179. https://doi.org/10.1016/j.automatica.2013.09.037 doi: 10.1016/j.automatica.2013.09.037
![]() |
[3] |
R. Shorten, F. Wirth, D. Leith, A positive systems model of TCP-like congestion control: Asymptotic results, IEEE/ACM Trans. Netw., 14 (2006), 616–629. https://doi.org/10.1109/TNET.2006.876178 doi: 10.1109/TNET.2006.876178
![]() |
[4] |
M. A. Rami, J. Shamma, Hybrid positive systems subject to Markovian switching, IFAC Proceed, 42 (2009), 138–143. https://doi.org/10.3182/20090916-3-ES-3003.00025 doi: 10.3182/20090916-3-ES-3003.00025
![]() |
[5] |
P. Bolzern, P. Colaneri, G. Nicolao, Stochastic stability of positive Markov jump linear systems, Automatica, 50 (2014), 1181–1187. https://doi.org/10.1016/j.automatica.2014.02.016 doi: 10.1016/j.automatica.2014.02.016
![]() |
[6] |
J. Cavalcanti, H. Balakrishnan, Sign-stability of positive Markov jump linear systems, Automatica, 111 (2020), 108638. https://doi.org/10.1016/j.automatica.2019.108638 doi: 10.1016/j.automatica.2019.108638
![]() |
[7] |
J. Zhang, B. Du, S. Zhang, S. Ding, A double sensitive fault detection filter for positive Markovian jump systems with a hybrid event-triggered mechanism, IEEE/CAA J. Automat. Sin., 2024. https://doi.org/10.1109/JAS.2024.124677 doi: 10.1109/JAS.2024.124677
![]() |
[8] |
M. Ogura, F. Martin, Stability analysis of positive semi-Markovian jump linear systems with state resets, SIAM J. Control Optim., 52 (2011) 1809–1831. https://doi.org/10.1137/130925177 doi: 10.1137/130925177
![]() |
[9] |
J. Zhang, G. Zheng, Y. Feng, Y. Chen, Event-triggered state-feedback and dynamic output-feedback control of PMJSs with intermittent faults, IEEE Trans. Automat. Control, 68 (2023), 1039–1046. https://doi.org/10.1109/TAC.2022.3146709 doi: 10.1109/TAC.2022.3146709
![]() |
[10] |
Q. Li, J. Zhang, P. Lin, Adaptive event-triggered fault detection for nonlinear positive semi-Markov jump systems, Int. J. Adapt. Control Signal Process., 36 (2022), 2677–2700. https://doi.org/10.1002/acs.3483 doi: 10.1002/acs.3483
![]() |
[11] |
L. Li, W. Qi, X. Chen, X. Gao, Y. Wei, Stability analysis and control synthesis for positive semi-Markov jump systems with time-varying delay, Appl. Math. Comput., 332 (2018), 363–375. https://doi.org/10.1016/j.amc.2018.02.055 doi: 10.1016/j.amc.2018.02.055
![]() |
[12] |
M. A. Rami, Solvability of static output-feedback stabilization for LTI positive systems, Syst. Control Lett., 60 (2011), 704–708. https://doi.org/10.1016/j.sysconle.2011.05.007 doi: 10.1016/j.sysconle.2011.05.007
![]() |
[13] | O. Mason, R. Shorten, On linear copositive Lyapunov functions and the stability of switched positive linear systems, IEEE Trans. Automat. Control, 52 (2007), 1346–1349. https://doi.org/0.1109/TAC.2007.900857 |
[14] |
O. L. do Valle Costa, M. D. Fragoso, M. G. Todorov, A detector-based approach for the H2 control of Markov jump linear systems with partial information, IEEE Trans. Automat. Control, 60 (2015), 1219–1234. https://doi.org/10.1109/TAC.2014.2366253 doi: 10.1109/TAC.2014.2366253
![]() |
[15] |
F. Stadtmann, O. L. do Valle Costa, H2-control of continuous-time hidden Markov jump linear systems, IEEE Trans. Automat. Control, 62 (2017), 4031-–4037. https://doi.org/10.1109/TAC.2016.2616303 doi: 10.1109/TAC.2016.2616303
![]() |
[16] |
F. Li, C. Du, C. Yang, L. Wu, W. Gui, Finite-time asynchronous sliding mode control for Markovian jump systems, Automatica, 109 (2019), 108503. https://doi.org/10.1016/j.automatica.2019.108503 doi: 10.1016/j.automatica.2019.108503
![]() |
[17] |
Z. G. Wu, P. Shi, Z. Shu, H. Su, R. Lu, Passivity-based asynchronous control for Markov jump systems, IEEE Trans. Automat. Control, 62 (2017), 2020–2025. https://doi.org/10.1109/TAC.2016.2593742 doi: 10.1109/TAC.2016.2593742
![]() |
[18] |
A. M. Oliveira, O. L. V. Costa, Mixed control of hidden Markov jump systems, Int. J. Robust Nonlinear Control, 28 (2018), 1261–1280. https://doi.org/10.1002/rnc.3952 doi: 10.1002/rnc.3952
![]() |
[19] |
S. C. Huo, F. Li, Hidden Markov model-based control for networked fuzzy Markov jump systems against randomly occurring multichannel attacks, Int. J. Robust Nonlinear Control, 31 (2021), 1657–1673. https://doi.org/10.1002/rnc.5363 doi: 10.1002/rnc.5363
![]() |
[20] |
F. Li, S. Xu, H. Shen, Z. Zhang, Extended dissipativity-based control for hidden Markov jump singularly perturbed systems subject to general probabilities, IEEE Trans. Syst. Man Cybern.: Syst., 51 (2021), 5752–5761. https://doi.org/10.1109/TSMC.2019.2957659 doi: 10.1109/TSMC.2019.2957659
![]() |
[21] |
Y. Tian, H. Yan, H. Zhang, J. Cheng, H. Shen, Asynchronous output feedback control of hidden semi-Markov jump systems with random mode-dependent delays, IEEE Trans. Automat. Control, 67 (2022), 4107–4114. https://doi.org/10.1109/TAC.2021.3110006 doi: 10.1109/TAC.2021.3110006
![]() |
[22] |
L. Zhang, B. Cai, T. Tan, Y. Shi, Stabilization of non-homogeneous hidden semi-Markov jump systems with limited sojourn-time information, Automatica, 117 (2020), 108963. https://doi.org/10.1016/j.automatica.2020.108963 doi: 10.1016/j.automatica.2020.108963
![]() |
[23] |
B. Wang, Q. Zhu, The observed mode dependent controller design problem for a class of continuous-time hidden semi-Markov jump systems, Int. J. Robust Nonlinear Control, 33 (2023), 8421–8432. https://doi.org/10.1002/rnc.6827 doi: 10.1002/rnc.6827
![]() |
[24] |
L. X. Zhang, B. Cai, Y. Shi, Stabilization of hidden semi-Markov jump systems: emission probability approach, Automatica, 101 (2019), 87–95. https://doi.org/10.1016/j.automatica.2018.11.027 doi: 10.1016/j.automatica.2018.11.027
![]() |
[25] |
S. Z. Yu, Hidden semi-Markov models, Artific. Intell., 174 (2010), 215–243. https://doi.org/10.1016/j.artint.2009.11.011 doi: 10.1016/j.artint.2009.11.011
![]() |
[26] |
B. Cai, L. Zhang, Y. Shi, Observed-mode-dependent state estimation of hidden semi-Markov jump linear systems, IEEE Trans. Automat. Control, 65 (2020), 442–449. https://doi.org/10.1109/TAC.2019.2919114 doi: 10.1109/TAC.2019.2919114
![]() |
[27] |
F. Li, W. X. Zheng, S. Xu, Stabilization of discrete-time hidden semi-Markov jump singularly perturbed systems with partially known emission probabilities, IEEE Trans. Automat. Control, 67 (2022), 4234–4240. https://doi.org/10.1109/TAC.2021.3113471 doi: 10.1109/TAC.2021.3113471
![]() |
[28] |
B. Wang, Q. Zhu, S. Li, Stabilization of discrete-time hidden semi-Markov jump linear systems with partly unknown emission probability matrix, IEEE Trans. Automat. Control, 69 (2023), 1952–1959. https://doi.org/10.1109/TAC.2023.3272190 doi: 10.1109/TAC.2023.3272190
![]() |
[29] |
G. Zong, W. Qi, H. R. Karimi, L1 control of positive semi-Markov jump systems with state delay, IEEE Trans. Syst. Man Cybern.: Syst., 51 (2021), 7569–7578. https://doi.org/10.1109/TSMC.2020.2980034 doi: 10.1109/TSMC.2020.2980034
![]() |
[30] |
Y. Tian, H. Yan, H. Zhang, M. Wang, J. Yi, Time-varying gain controller synthesis of piecewise homogeneous semi-Markov jump linear systems, Automatica, 146 (2022), 110594. https://doi.org/10.1016/j.automatica.2022.110594 doi: 10.1016/j.automatica.2022.110594
![]() |
[31] |
W. Qi, Y. Yi, P. Shi, G. Zong, Z. G. Wu, Adaptive event-driven control for continuous positive stochastic jump models with cyber attacks, IEEE Trans. Circuits Syst. II Express Briefs, 71 (2024), 301–305. https://doi.org/10.1109/TCSII.2023.3300727 doi: 10.1109/TCSII.2023.3300727
![]() |
1. | Rinaldo M. Colombo, Helge Holden, Francesca Marcellini, On the Microscopic Modeling of Vehicular Traffic on General Networks, 2020, 80, 0036-1399, 1377, 10.1137/19M1270896 | |
2. | Francesca Marcellini, The Follow-The-Leader model without a leader: An infinite-dimensional Cauchy problem, 2021, 495, 0022247X, 124664, 10.1016/j.jmaa.2020.124664 | |
3. | M. Garavello, F. Marcellini, A Riemann solver at a junction compatible with a homogenization limit, 2018, 464, 0022247X, 1333, 10.1016/j.jmaa.2018.04.068 | |
4. | Mauro Garavello, Francesca Marcellini, Global Weak Solutions to the Cauchy Problem for a Two-Phase Model at a Node, 2020, 52, 0036-1410, 1567, 10.1137/19M1265041 |