Showing papers in "Systems & Control Letters in 2003"

TL;DR: A framework for deterministic adaptive control which involves logic-based switching among a family of candidate controllers is described, emphasizing how switching and logic can be used to overcome some of the limitations of traditional adaptive control.

TL;DR: This paper proves that for switched linear system, there exists a switching sequence such that the controllable state set of this switching sequence is equal to the controllers of the system, and the controlling can be realized by using only one switching sequence.

TL;DR: This work extends an earlier design to multivariable nonlinearities, satisfying an analog of the scalar nondecreasing property, and exploits the structure of the nonlinearity to relax the positive real restriction on the linear part of the observer error system.

TL;DR: It is shown that the reduced order models exist if a set of matrix inequalities is feasible, and an effective iterative algorithm involving linear matrix inequalities are suggested to solve the matrix inequalities characterizing the model reduction solutions.

TL;DR: In this article, an adaptive Smith controller together with an adaptive law similar to the delay-free case is proposed by using Lyapunov-Krasovskii functionals for an appropriate model transformation of the original system.

TL;DR: A dwell-time function is proposed which depends on the comparison functions which characterize the integral input-to-state stability property and guarantees the state of the switched system to converge to zero under the action of disturbances with “bounded energy”.

TL;DR: In this article, it was shown that if a system adapts to a class of external signals U, in the sense of regulation against disturbances or tracking signals in U, then it must necessarily contain a subsystem which is capable of generating all the signals.

TL;DR: Convergence of the regularized problems is proved and numerical tests confirm the theoretical results and demonstrate the efficiency of the proposed methodology.

TL;DR: An efficient robust constrained model predictive control algorithm with a time varying terminal constraint set is developed for systems with model uncertainty and input constraints that retains the unconstrained optimal performance in the neighborhood of the equilibrium.

TL;DR: An application to trajectory planning is presented, showing the usefulness of the present characterization of transformations expressing the system variables in terms of a linear flat output and derivatives as the kernel of a polynomial matrix.

TL;DR: It is shown that under coordinates change and output transformation, the equivalence of a discrete-time nonlinear system to observer canonical forms is equivalent to an observer canonical system.

TL;DR: A new iterative approach to probabilistic robust controller design is presented, which is applicable to any robust controller/filter design problem that can be represented as an LMI feasibility problem.

TL;DR: A rigorous procedure to obtain the adjoint-based gradient representation of cost functionals for the optimal control of discontinuous solutions of conservation laws is proposed, based on stability properties of the adjointed equation.

TL;DR: This work addresses the characterization of the set of all achievable closed-loop systems for a given plant system and a controller system to be designed, and for any achievable behavior a canonical controller is defined.

TL;DR: This paper considers a linear system under nested saturation, and shows a condition derived in terms of a set of auxiliary feedback gains for determining if a given ellipsoid is contractively invariant to be equivalent to linear matrix inequalities in the actual and Auxiliary feedback gains.

TL;DR: It is shown that the constraint known as Bode's sensitivity integral has an information-theoretic interpretation in terms of the difference in the entropy rates between the input and output of the systems, and the method to calculate this difference is investigated.

TL;DR: Regulator equations are derived, which generalize Francis–Byrnes–Isidori equations to the case of systems with delay, and it is shown that, under standard assumptions, the regulator problem is solvable if and only if these equations are solvable.

TL;DR: New matrix inequalities characterization of delay-dependent quadratic stability results are exploited, it is demonstrated that it allows the use of parameter-dependent Lyapunov functionals, and control design methods based on linear matrix inequalities (LMIs) for solving the robust control problem are developed.

TL;DR: It is shown that it is possible to globally adaptively stabilize linear multivariable systems with reduced prior knowledge of the high-frequency gain with the use of the new immersion and invariance approach to adaptive control.

TL;DR: These results are interpreted as suitable stabilization ones for deterministic and stochastic systems and permit us to construct appropriate linear stabilizers in some particular situations.

TL;DR: The designs presented here are for a nonlinear model of mine ventilation networks based on multivariable linear models that achieves a global regulation result and is applicable to other types of fluid networks like gas and water distribution networks, irrigation networks, and possibly to building ventilation.

TL;DR: Stochastic differential delay equations with Markovian switching is discussed to investigate the stability in distribution of the equations.

TL;DR: It is shown that the real and complex stability radii of positive polynomial matrices under affine perturbations of the coefficient matrices coincide.

TL;DR: It is proved the convergence of the boundary controls of the discrete equations to a control of the continuous wave equation when the mesh size tends to zero when time and space steps coincide.

TL;DR: It is shown that under certain conditions on theactive set the measure representing the Lagrange multiplier associated to the state constraint can be decomposed in a distributed part in L2 with support on the active set and a boundary measure concentrated on the interface between active and inactive sets.

TL;DR: It is proved that, except for the case l= 1 2 , when the number of intervals is not fixed a priori an optimal domain does not exist, and the optimal position of one interval is never at the middle of the string.

TL;DR: By using the supremal element, an iterative algorithm is presented for computing an L m ( G )-closed, controllable, and observable sublanguage of a given marked language, which is larger thanThe supremal L m( G) -closed, controlled, and normal sublanguage.

TL;DR: This paper shows how to use the theory of fractional ideals in order to study the fractional representation approach to analysis and synthesis problems for SISO systems and generalizes the Youla–Kucera parametrization of the stabilizing controllers to any stabilizable plant which does not necessarily admit a coprime factorization.

TL;DR: A general and systematic method is presented to model topologically complete electrical networks, with or without multiple or single switches, within the Euler–Lagrange framework, which has proven to be useful for the application of passivity-based control techniques.

TL;DR: This paper investigates the problem of H/sub infinity / model reduction for linear discrete-time singular systems using linear matrix inequalities (LMIs) and a coupling non-convex rank constraint set and derives a simple LMI condition without rank constraint for the zeroth-order H/ sub infinity / approximation problem.