Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be control...
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ISBN:
(纸本)9781424427994
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or (often) 2D systems theory. In this paper we begin the development a systems theory for a model of these processes necessary to represent terms which arise in some applications areas but are not included in the currently used models.
A tire slip fuzzy control solution is designed and implemented in the framework of an Anti-lock Braking System (ABS) comprising a highly nonlinear controlled plant. The fuzzy controllers are designed to work for local...
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A tire slip fuzzy control solution is designed and implemented in the framework of an Anti-lock Braking System (ABS) comprising a highly nonlinear controlled plant. The fuzzy controllers are designed to work for locally linearized models of the plant. Their parameters are tuned by mapping from simple PI controllers in terms of the modal equivalence principle. The experience from the experiments is incorporated in the design of the rules and the stability analysis enables the controller design. The benefits of filtering the input of the fuzzy controller are highlighted in real-time experimental results.
A tire slip fuzzy control solution is designed and implemented in the framework of an Anti-lock Braking System (ABS) comprising a highly nonlinear controlled plant. The fuzzy controllers are designed to work for local...
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This paper presents a control strategy for driving trucks on economically optimal speed trajectories over a-priori known road slope profiles. By considering the trip income and costs, the approach leads to an ecologic...
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This paper presents a control strategy for driving trucks on economically optimal speed trajectories over a-priori known road slope profiles. By considering the trip income and costs, the approach leads to an ecological and economic advantage by reducing the fuel consumption and maximizing the profit of transportation at the same time. The optimization task for a truck is formulated as an open-loop, finite-horizon optimal control problem, which is repetitively solved as part of a model predictive control framework. The truck dynamics is represented as a hybrid nonlinear model and a multi-point boundary-value problem (MPBVP) is obtained using Karush-Kuhn-Tucker conditions, the Pontryagin minimum principle for input constraints, interior boundary conditions for state constraints and interior point constraints for gear shifts. The MPBVP is solved numerically by a multiple shooting algorithm. Results are validated in simulations and compared to an ordinary speed controller.
This paper studies some properties of the recently developed parametric Lyapunov equation based low gain feedback design method. As applications of these new properties, alternative and simpler solutions are proposed ...
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ISBN:
(纸本)9781424445233
This paper studies some properties of the recently developed parametric Lyapunov equation based low gain feedback design method. As applications of these new properties, alternative and simpler solutions are proposed to the (global) stabilization problem for a class of linear systems with input delay and the semi-global stabilization problem when the systems are in addition subject to actuator saturation. Besides the simplicity in their construction, the new solutions can also be easily scheduled online to achieve global result in the presence of input saturation.
In this paper we discuss the estimation of a moving target by cooperative agents equipped with sensors. To locate a moving target, a distributed algorithm is given for the networked agents based on a time-based shift....
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In this paper we discuss the estimation of a moving target by cooperative agents equipped with sensors. To locate a moving target, a distributed algorithm is given for the networked agents based on a time-based shift. A nonlinear filter with fusing collected sensor information is proposed to estimate the trajectory of the target with unknown dynamics. The convergence of the estimation in the sensor network is analyzed and proved via a theoretic approach.
Abstract This paper aims to further improve previously developed design for Acrobot walking based on partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost line...
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Abstract This paper aims to further improve previously developed design for Acrobot walking based on partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost linear system where error dynamics along trajectory to be tracked is a 4-dimensional linear time-varying system having 3 time-varying entries only, the remaining entries being either zero or one. In such a way, exponentially stable tracking can be obtained by quadratically stabilizing a linear system with polytopic uncertainty. The current improvement is based on applying LMI methods to solve this problem numerically. This careful analysis significantly improves previously known approaches. Numerical simulations of Acrobot walking based on the above mentioned LMI design are demonstrated as well.
The use of decoy states in quantum key distribution (QKD) has provided a method for substantially increasing the secret key rate and distance that can be covered by QKD protocols with practical signals. The security a...
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The use of decoy states in quantum key distribution (QKD) has provided a method for substantially increasing the secret key rate and distance that can be covered by QKD protocols with practical signals. The security analysis of these schemes, however, leaves open the possibility that the development of better proof techniques or better classical postprocessing methods might further improve their performance in realistic scenarios. In this paper, we derive upper bounds on the secure key rate for decoy-state QKD. These bounds are based basically only on the classical correlations established by the legitimate users during the quantum communication phase of the protocol. The only assumption about the possible postprocessing methods is that double click events are randomly assigned to single click events. Further, we consider only secure key rates based on the uncalibrated device scenario which assigns imperfections such as detection inefficiency to the eavesdropper. Our analysis relies on two preconditions for secure two-way and one-way QKD. The legitimate users need to prove that there exists no separable state (in the case of two-way QKD) or that there exists no quantum state having a symmetric extension (one-way QKD) that is compatible with the available measurements results. Both criteria have been previously applied to evaluate single-photon implementations of QKD. Here we use them to investigate a realistic source of weak coherent pulses. The resulting upper bounds can be formulated as a convex optimization problem known as a semidefinite program which can be efficiently solved. For the standard four-state QKD protocol, they are quite close to known lower bounds, thus showing that there are clear limits to the further improvement of classical postprocessing techniques in decoy-state QKD.
Based on the parametric solutions to a generalized second-order Sylvester equation, a parametric method to solve the design of full-order PI observers is proposed in second-order linear systems. This proposed method p...
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ISBN:
(纸本)9787900719706
Based on the parametric solutions to a generalized second-order Sylvester equation, a parametric method to solve the design of full-order PI observers is proposed in second-order linear systems. This proposed method presents the parametric expressions for the feedback gain matrices and the left eigenvector matrix of the full-order PI observers. An illustrative example shows the effectiveness and simpleness of the proposed method.
In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalize...
In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalized Sylvester-observer matrix equation. Based on an explicit parametric solution to this equation, a parametric solution to the normal Luenberger function observer design problem is given. The design degrees of freedom presented by explicit parameters can be further utilized to achieve some additional design requirements.
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