Subjects -> MATHEMATICS (Total: 1074 journals)     - APPLIED MATHEMATICS (86 journals)    - GEOMETRY AND TOPOLOGY (23 journals)    - MATHEMATICS (793 journals)    - MATHEMATICS (GENERAL) (43 journals)    - NUMERICAL ANALYSIS (23 journals)    - PROBABILITIES AND MATH STATISTICS (106 journals) MATHEMATICS (793 journals)            First | 1 2 3 4
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Similar Journals
 Mathematics of Control, Signals, and Systems (MCSS)Journal Prestige (SJR): 0.855 Citation Impact (citeScore): 1Number of Followers: 5      Hybrid journal (It can contain Open Access articles) ISSN (Print) 0932-4194 - ISSN (Online) 1435-568X Published by Springer-Verlag  [2570 journals]
• Approximability models and optimal system identification
• Abstract: This article considers the problem of optimally recovering stable linear time-invariant systems observed via linear measurements made on their transfer functions. A common modeling assumption is replaced here by the related assumption that the transfer functions belong to a model set described by approximation capabilities. Capitalizing on recent optimal recovery results relative to such approximability models, we construct some optimal algorithms and characterize the optimal performance for the identification and evaluation of transfer functions in the framework of the Hardy Hilbert space and of the disk algebra. In particular, we determine explicitly the optimal recovery performance for frequency measurements taken at equispaced points on an inner circle or on the torus.
PubDate: 2020-02-13

• Sampled-data output regulation of unstable well-posed infinite-dimensional
systems with constant reference and disturbance signals
• Abstract: We study the sample-data control problem of output tracking and disturbance rejection for unstable well-posed linear infinite-dimensional systems with constant reference and disturbance signals. We obtain a sufficient condition for the existence of finite-dimensional sampled-data controllers that are solutions of this control problem. To this end, we study the problem of output tracking and disturbance rejection for infinite-dimensional discrete-time systems and propose a design method of finite-dimensional controllers by using a solution of the Nevanlinna–Pick interpolation problem with both interior and boundary conditions. We apply our results to systems with state and output delays.
PubDate: 2019-12-12

• A Poincaré–Bendixson theorem for hybrid dynamical systems on
directed graphs
• Abstract: The purpose of this work is to obtain restrictions on the asymptotic structure of two-dimensional hybrid dynamical systems. Previous results have been achieved by the authors concerning hybrid dynamical systems with a single impact surface and a single state space. Here, this work is extended to hybrid dynamical systems defined on a directed graph; each vertex corresponds to a state space and each directed edge corresponds to an impact.
PubDate: 2019-11-16

• The persistence of impulse controllability
• Abstract: This paper shows that within the space of all LTI systems, equipped with the Zariski topology, the set of impulse controllable systems contains an open dense set of systems; in other words, impulse controllable systems are generic. This genericity persists for many closed subsets of LTI systems of interest, such as the class of singular descriptor systems.
PubDate: 2019-10-28

• Non-asymptotic error bounds for constant stepsize stochastic approximation
for tracking mobile agents
• Abstract: This work revisits the constant stepsize stochastic approximation algorithm for tracking a slowly moving target and obtains a bound for the tracking error that is valid for the entire time axis, using the Alekseev nonlinear variation of constants formula. It is the first non-asymptotic bound for the entire time axis in the sense that it is not based on the vanishing stepsize limit and associated limit theorems unlike prior works, and captures clearly the dependence on problem parameters and the dimension.
PubDate: 2019-10-25

• Weak input-to-state stability: characterizations and counterexamples
• Abstract: We establish characterizations of weak input-to-state stability for abstract dynamical systems with inputs, which are similar to characterizations of uniform and of strong input-to-state stability established in a recent paper by A. Mironchenko and F. Wirth. We also investigate the relation of weak input-to-state stability to other common stability concepts, thus contributing to a better theoretical understanding of input-to-state stability theory.
PubDate: 2019-10-11

• Symmetry and motion primitives in model predictive control
• Abstract: Symmetries, e.g.  rotational and translational invariances for the class of mechanical systems, allow to characterize solution trajectories of nonlinear dynamical systems. Thus, the restriction to symmetry-induced dynamics, e.g.  by using the concept of motion primitives, may be considered as a quantization of the system. Symmetry exploitation is well established in both motion planning and control. However, the linkage between the respective techniques to optimal control is not yet fully explored. In this manuscript, we want to lay the foundation for the usage of symmetries in Model Predictive Control (MPC). To this end, we investigate a mobile robot example in detail where our contribution is twofold: Firstly, we establish asymptotic stability of a desired set point w.r.t. the MPC closed loop, which is also demonstrated numerically by using motion primitives applied to the parallel parking scenario. Secondly, if the optimization criterion is not consistent with the symmetry action, we provide guidelines to rigorously derive stability guarantees based on symmetry exploitation.
PubDate: 2019-09-27

• Continuity/constancy of the Hamiltonian function in a Pontryagin maximum
principle for optimal sampled-data control problems with free sampling
times
• Abstract: In a recent paper by Bourdin and Trélat, a version of the Pontryagin maximum principle (in short, PMP) has been stated for general nonlinear finite-dimensional optimal sampled-data control problems. Unfortunately, their result is only concerned with fixed sampling times, and thus, it does not take into account the possibility of free sampling times. The present paper aims to fill this gap in the literature. Precisely, we establish a new version of the PMP that can handle free sampling times. As in the aforementioned work by Bourdin and Trélat, we obtain a first-order necessary optimality condition written as a nonpositive averaged Hamiltonian gradient condition. Furthermore, from the freedom of choosing sampling times, we get a new and additional necessary optimality condition which happens to coincide with the continuity of the Hamiltonian function. In an autonomous context, even the constancy of the Hamiltonian function can be derived. Our proof is based on the Ekeland variational principle. Finally, a linear–quadratic example is numerically solved using shooting methods, illustrating the possible discontinuity of the Hamiltonian function in the case of fixed sampling times and highlighting its continuity in the instance of optimal sampling times.
PubDate: 2019-09-17

• Geometry and dynamics of the Schur–Cohn stability algorithm for one
variable polynomials
• Abstract: We provided a detailed study of the Schur–Cohn stability algorithm for Schur stable polynomials of one complex variable. Firstly, a real analytic principal $$\mathbb {C}\times \mathbb {S}^1$$ -bundle structure in the family of Schur stable polynomials of degree n is constructed. Secondly, we consider holomorphic $$\mathbb {C}$$ -actions $$\mathscr {A}$$ on the space of polynomials of degree n. For each orbit $$\{ s \cdot P(z) \ \vert \ s \in \mathbb {C}\}$$ of $$\mathscr {A}$$ , we study the dynamical problem of the existence of a complex rational vector field $$\mathbb {X}(z)$$ on $$\mathbb {C}$$ such that its holomorphic s-time describes the geometric change of the n-root configurations of the orbit $$\{ s \cdot P(z) = 0 \}$$ . Regarding the above $$\mathbb {C}$$ -action coming from the $$\mathbb {C}\times \mathbb {S}^1$$ -bundle structure, we prove the existence of a complex rational vector field $$\mathbb {X}(z)$$ on $$\mathbb {C}$$ , which describes the geometric change of the n-root configuration in the unitary disk $$\mathbb {D}$$ of a $$\mathbb {C}$$ -orbit of Schur stable polynomials. We obtain parallel results in the framework of anti-Schur polynomials, which have all their roots in $$\mathbb {C}\backslash \overline{\mathbb {D}}$$ , by constructing a principal $$\mathbb {C}^* \times \mathbb {S}^1$$ -bundle structure in this family of polynomials. As an application for a cohort population model, a study of the Schur stability and a criterion of the loss of Schur stability are described.
PubDate: 2019-09-05

• Exact controllability to the trajectories for parabolic PDEs with nonlocal
nonlinearities
• Abstract: This paper deals with the analysis of the internal control of a parabolic PDE with nonlinear diffusion, nonlocal in space. In our main result, we prove the local exact controllability to the trajectories with distributed controls, locally supported in space. The main ingredients of the proof are a compactness–uniqueness argument and Kakutani’s fixed-point theorem in a suitable functional setting. Some possible extensions and open problems concerning other nonlocal systems are presented.
PubDate: 2019-08-26

• The set of controllable multi-input systems is generically convex
• Abstract: In this paper, we investigate connectedness and convexity properties of the subspace $$\mathbf {L}_{n,m}^c(\mathbb {R})$$ of controllable input pairs $$(A,B)\in \mathbf {L}_{n,m}(\mathbb {R}):= \mathbb {R}^{n\times n}\times \mathbb {R}^{n\times m}$$ . We introduce three restricted convexity properties (“dense”, “almost sure” and “generic” convexity). In order to prove that the space $$\mathbf {L}_{n,m}^c(\mathbb {R})$$ possesses these properties, we study the intersection of straight lines in $$\mathbf {L}_{n,m}(\mathbb {R})$$ with the algebraic variety of uncontrollable input pairs in $$\mathbf {L}_{n,m}(\mathbb {R})$$ . While in the single-input case ( $$m=1$$ ), the space $$\mathbf {L}_{n,1}^c(\mathbb {R})$$ consists of two connected components, we prove that the space $$\mathbf {L}_{n,m}^c(\mathbb {R})$$ is generically convex in the multi-input case. This is our main result. It directly implies Brockett’s theorem that $$\mathbf {L}_{n,m}^c(\mathbb {R})$$ is pathwise connected if $$m\ge 2$$ . As another application, we derive the theorem of Hazewinkel and Kalman about the non-existence of continuous canonical forms for multi-input systems.
PubDate: 2019-08-16

• Exit time risk-sensitive control for systems of cooperative agents
• Abstract: We study a sequence of many-agent exit time stochastic control problems, parameterized by the number of agents, with risk-sensitive cost structure. We identify a fully characterizing assumption, under which each such control problem corresponds to a risk-neutral stochastic control problem with additive cost, and sequentially to a risk-neutral stochastic control problem on the simplex that retains only the distribution of states of agents, while discarding further specific information about the state of each agent. Under some additional assumptions, we also prove that the sequence of value functions of these stochastic control problems converges to the value function of a deterministic control problem, which can be used for the design of nearly optimal controls for the original problem, when the number of agents is sufficiently large.
PubDate: 2019-08-01

• Robust stability of linear time-varying implicit dynamic equations: a
general consideration
• Abstract: In this paper, the problem of robust stability for linear time-varying implicit dynamic equations is generally studied. We consider the effect of uncertain structured perturbations on all coefficient matrices of equations. A formula of stability radius with respect to dynamic structured perturbations acting on the right-hand side coefficients is obtained. In case where structured perturbations affect on both derivative and the right-hand side, the lower bounds for the stability radius are derived. The results are novel and extend many previous results about robust stability for time-varying ordinary differential/difference equations, time-varying differential algebraic equations and time-varying implicit difference equations.
PubDate: 2019-07-26

• Optimal interpolants on Grassmann manifolds
• Abstract: The Grassmann manifold $$Gr_m({\mathbb {R}}^n)$$ of all m-dimensional subspaces of the n-dimensional space $${\mathbb {R}}^n$$ $$(m<n)$$ is widely used in image analysis, statistics and optimization. Motivated by interpolation in the manifold $$Gr_2({\mathbb {R}}^4)$$, we first formulate the differential equation for desired interpolation curves called Riemannian cubics in symmetric spaces by the Pontryagin maximum principle (PMP) and then narrow down to it in $$Gr_2({\mathbb {R}}^4)$$. Although computation on this low-dimensional manifold may not occur heavy burden for modern machines, theoretical analysis for Riemannian cubics is very limited in references due to its highly nonlinearity. This paper focuses on presenting analytical and geometrical structures for the so-called Lie quadratics associated with Riemannian cubics. By analysing asymptotics of Lie quadratics, we find asymptotics of Riemannian cubics in $$Gr_2({\mathbb {R}}^4)$$. Finally, we illustrate our results by numerical simulations.
PubDate: 2019-07-26

• Approximately reachable directions for piecewise linear switched systems
• Abstract: This paper deals with some reachability issues for piecewise linear switched systems with time-dependent coefficients and multiplicative noise. Namely, it aims at characterizing data that are almost reachable at some fixed time $$T>0$$ (belong to the closure of the reachable set in a suitable $${\mathbb {L}}^2$$-sense). From a mathematical point of view, this provides the missing link between approximate controllability toward 0 and approximate controllability toward given targets. The methods rely on linear–quadratic control and Riccati equations. The main novelty is that we consider an LQ problem with controlled backward stochastic dynamics and, since the coefficients are not deterministic (unlike some of the cited references), neither is the backward stochastic Riccati equation. Existence and uniqueness of the solution of such equations rely on structure arguments [inspired by Confortola (Ann Appl Probab 26(3):1743–1773, 2016)]. Besides solvability, Riccati representation of the resulting control problem is provided as is the synthesis of optimal (non-Markovian) control. Several examples are discussed.
PubDate: 2019-07-26

• Periodic adaptive stabilization of rapidly time-varying linear systems
• Abstract: Adaptive control deals with systems that have unknown and/or time-varying parameters. Most techniques are proven for the case in which any time variation is slow, with results for systems with fast time variations limited to those for which the time variation is of a known form or for which the plant has stable zero dynamics. In this paper, a new adaptive controller design methodology is proposed in which the time variation can be rapid and the plant may have unstable zero dynamics. Under the structural assumptions that the plant is relative degree one and that the plant uncertainty is a single scalar variable, as well as some mild regularity assumptions, it is proven that the closed-loop system is exponentially stable under fast parameter variations with persistent jumps. The proposed controller is nonlinear and periodic, and in each period the parameter is estimated and an appropriate stabilizing control signal is applied.
PubDate: 2019-06-19

• Structure theory for ensemble controllability, observability, and duality
• Abstract: Ensemble control deals with the problem of using a finite number of control inputs to simultaneously steer a large population (in the limit, a continuum) of control systems. Dual to the ensemble control problem, ensemble estimation deals with the problem of using a finite number of measurement outputs to estimate the initial state of every individual system in the ensemble. We introduce in the paper a novel class of ensemble systems, termed distinguished ensemble systems, and establish sufficient conditions for controllability and observability of such systems. Every distinguished ensemble system has two key components, namely a set of distinguished control vector fields and a set of codistinguished observation functions. Roughly speaking, a set of vector fields is distinguished if it is closed (up to scaling) under Lie bracket, and moreover, every vector field in the set can be obtained by a Lie bracket of two vector fields in the same set. Similarly, a set of functions is codistinguished to a set of vector fields if the Lie derivatives of the functions along the given vector fields yield (up to scaling) the same set of functions. We demonstrate in the paper that the structure of a distinguished ensemble system can significantly simplify the analysis of ensemble controllability and observability. Moreover, such a structure can be used as a guiding principle for ensemble system design. We further address in the paper the problem about existence of a distinguished ensemble system for a given manifold. We provide an affirmative answer for the case where the manifold is a connected semi-simple Lie group. Specifically, we show that every such Lie group admits a set of distinguished vector fields, together with a set of codistinguished functions. The proof is constructive, leveraging the structure theory of semi-simple real Lie algebras and representation theory. Examples will be provided along the presentation of the paper illustrating key definitions and main results.
PubDate: 2019-06-18

• Infinite-dimensional bilinear and stochastic balanced truncation with
explicit error bounds
• Abstract: Along the ideas of Curtain and Glover (in: Bart, Gohberg, Kaashoek (eds) Operator theory and systems, Birkhäuser, Boston, 1986), we extend the balanced truncation method for (infinite-dimensional) linear systems to arbitrary-dimensional bilinear and stochastic systems. In particular, we apply Hilbert space techniques used in many-body quantum mechanics to establish new fully explicit error bounds for the truncated system and prove convergence results. The functional analytic setting allows us to obtain mixed Hardy space error bounds for both finite-and infinite-dimensional systems, and it is then applied to the model reduction of stochastic evolution equations driven by Wiener noise.
PubDate: 2019-05-06

• Existence of non-coercive Lyapunov functions is equivalent to integral
uniform global asymptotic stability
• Abstract: In this paper, a class of abstract dynamical systems is considered which encompasses a wide range of nonlinear finite- and infinite-dimensional systems. We show that the existence of a non-coercive Lyapunov function without any further requirements on the flow of the forward complete system ensures an integral version of uniform global asymptotic stability. We prove that also the converse statement holds without any further requirements on regularity of the system. Furthermore, we give a characterization of uniform global asymptotic stability in terms of the integral stability properties and analyze which stability properties can be ensured by the existence of a non-coercive Lyapunov function, provided either the flow has a kind of uniform continuity near the equilibrium or the system is robustly forward complete.
PubDate: 2019-03-14

• A geometric approach for the optimal control of difference inclusions
• Abstract: Difference inclusions provide a discrete-time analogue of differential inclusions, which in turn play an important role in the theories of optimal control, implicit differential equations, and invariance and viability, to name a few. In this paper we: (i) introduce a framework suitable for the study of difference inclusions for which the state evolves on a manifold; (ii) use this framework to develop necessary conditions for optimality for a broad class of discrete-time problems of dynamic optimization in which the state evolves on a manifold M. The necessary conditions for optimality we derive include the case for which the state $$q_i$$ is subject to constraints $$q_i \in S_i \subseteq M$$ , for $$S_i$$ a closed set. The resulting necessary conditions for optimality appear as discrete-time versions of the Euler–Lagrange inclusion studied by Ioffe (in Trans Am Math Soc 349(7):2871–2900, 1997), Ioffe and Rockafellar (in Calc Var Partial Differ Equ 4(1):59–87, 1996), Mordukhovich (in SIAM J Control Optim 33(3):882–915, 1995), Mordukhovich (in Variational analysis and generalized differentiation II: applications. Springer, Berlin, 2006), and Vinter and Zheng (in SIAM J Control Optim 35(1):56–77, 1997) generalized in a natural way to the case in which the state is evolving on a manifold.
PubDate: 2019-03-06

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