Remarks on the theory of implicit linear continuous-time systems
Residual generator fuzzy identification for automotive diesel engine fault diagnosis
Safety in dynamic processes is a concern of rising importance, especially if people would be endangered by serious system failure. Moreover, as the control devices which are now exploited to improve the overall performance of processes include both sophisticated control strategies and complex hardware (input-output sensors, actuators, components and processing units), there is an increased probability of faults. As a direct consequence of this, automatic supervision systems should be taken into...
Resolvent estimates in controllability theory and applications to the discrete wave equation
We briefly present the difficulties arising when dealing with the controllability of the discrete wave equation, which are, roughly speaking, created by high-frequency spurious waves which do not travel. It is by now well-understood that such spurious waves can be dealt with by applying some convenient filtering technique. However, the scale of frequency in which we can guarantee that none of these non-traveling waves appears is still unknown in general. Though, using Hautus tests, which read the...
Response-time analysis of a CAN network used for supervisory control and diagnostic systems
Results of short-period helicopter system identification using output-error and hybrid search-gradient optimization algorithm.
Return method : application to controllability
RGB-D terrain perception and dense mapping for legged robots
This paper addresses the issues of unstructured terrain modeling for the purpose of navigation with legged robots. We present an improved elevation grid concept adopted to the specific requirements of a small legged robot with limited perceptual capabilities. We propose an extension of the elevation grid update mechanism by incorporating a formal treatment of the spatial uncertainty. Moreover, this paper presents uncertainty models for a structured light RGB-D sensor and a stereo vision camera used...
Riccati-like flows and matrix approximations
Riesz basis property of Timoshenko beams with boundary feedback control.
Rings of skew polynomials in algebraical approach to control theory
Risk analysis of blood glucose data: A quantitative approach to optimizing the control of insulin dependent diabetes.
Risk-sensitive Markov stopping games with an absorbing state
This work is concerned with discrete-time Markov stopping games with two players. At each decision time player II can stop the game paying a terminal reward to player I, or can let the system to continue its evolution. In this latter case player I applies an action affecting the transitions and entitling him to receive a running reward from player II. It is supposed that player I has a no-null and constant risk-sensitivity coefficient, and that player II tries to minimize the utility of player I....
Robot motion using Delaunay triangulation.
Robust adaptive fuzzy control of chaos in the permanent magnet synchronous motor.
Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds is available. In recursive design, fuzzy logic systems...
Robust adaptive stabilization of linear time-invariant dynamic systems by using fractional-order holds and multirate sampling controls.
Robust adaptive tracking for Markovian jump nonlinear systems with unknown nonlinearities.
Robust admissibilization of descriptor systems by static output-feedback: an LMI approach.
Robust and nonrobust tracking
For zero steady state tracking error it is necessary to include integrators in the control loop in the case of reference signal generated by integrators. This result can be generalized to arbitrary unstable modes of the reference generator according to the “internal model principle”. This paper shows an alternative solution of the asymptotic reference signal tracking problem using feedforward. The solution is not robust but gives a feedback controller with reduced complexity. Robust tracking...
Robust and reliable output feedback control for linear systems with parameter uncertainty and actuator failure
The robust and reliable output feedback controller design problem is investigated for uncertain linear systems with actuator failures within a prespecified subset of actuators. The uncertainty considered here is time- varying norm-bounded parameter uncertainty in the state matrix. The output of a faulty actuator is assumed to be any arbitrary energy-bounded signal. An observer-based output feedback controller design is presented which stabilizes the plant and guarantees an -norm bound on attenuation...