Mathematics of Control, Signals, and Systems View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

N/A

PUBLISHER

Springer London

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/498

Recent publications latest 20 shown

  • 2019-06 A geometric approach for the optimal control of difference inclusions
  • 2019-06 Existence of non-coercive Lyapunov functions is equivalent to integral uniform global asymptotic stability
  • 2019-03 Null controllability via comparison results for nonlinear age-structured population dynamics
  • 2019-03 Lp solution of backward stochastic differential equations driven by a marked point process
  • 2018-12 Optimal distributed control problem for cubic nonlinear Schrödinger equation
  • 2018-12 Monotonicity on homogeneous spaces
  • 2018-12 Linear port-Hamiltonian descriptor systems
  • 2018-12 Classical pole placement adaptive control revisited: linear-like convolution bounds and exponential stability
  • 2018-12 Stabilization of a suspension bridge with locally distributed damping
  • 2018-12 Invariance entropy for a class of partially hyperbolic sets
  • 2018-12 ISS with respect to boundary and in-domain disturbances for a coupled beam-string system
  • 2018-09 Inner–outer factorization for differential-algebraic systems
  • 2018-09 Control and stability of the linearized dispersion-generalized Benjamin–Ono equation on a periodic domain
  • 2018-09 Stackelberg–Nash null controllability for some linear and semilinear degenerate parabolic equations
  • 2018-06 On multivariable proper rational interpolation using coprime factors
  • 2018-06 Near optimal H∞ performance in the decentralized setting
  • 2018-06 Almost global asymptotic stability of a grid-connected synchronous generator
  • 2018-06 Stabilization to trajectories for parabolic equations
  • 2018-06 Convergence of discrete-time Kalman filter estimate to continuous-time estimate for systems with unbounded observation
  • 2018-03 Model reduction of linear multi-agent systems by clustering with H2 and H∞ error bounds
  • JSON-LD is the canonical representation for SciGraph data.

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