control synthesis for robust tracking is considered for a class of pulse-width modulated systems that appear, for example, in power electronics applications. The control objective is to regulate a high frequency rippl...
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The generalized Nyquist criterion is used to derive necessary and sufficient consensus conditions for large highorder linear multi-agent systems(MAS) with heterogeneous communication *** new consensus conditions are s...
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The generalized Nyquist criterion is used to derive necessary and sufficient consensus conditions for large highorder linear multi-agent systems(MAS) with heterogeneous communication *** new consensus conditions are setvalued graphical conditions, from which inequality conditions are derived for single integrator *** obtained conditions provide a unification and generalization of several results from the ***, convergence rate conditions for single integrator MAS with delays are derived.
We study robust consensus of linear Multi-Agent systems (MAS) with heterogeneous delays. We provide a very accurate set-valued condition that guarantees consensus for arbitrary bounded delays and arbitrary connected t...
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In this paper we present a novel algorithm for SINS(Strapdown Inertial Navigation)/CNS(Celestial Naviga-tion System)/GPS(Global Positioning System) integrated navigation *** novel algorithm is called as federated unsc...
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In this paper we present a novel algorithm for SINS(Strapdown Inertial Navigation)/CNS(Celestial Naviga-tion System)/GPS(Global Positioning System) integrated navigation *** novel algorithm is called as federated unscented particle filter(FUPF), and the SINS/CNS/GPS system models are nonlinear and *** algorithm uses the UKF(Uscented Kalman Filter) to estimate the local filters, and the estimate results are employed to generate the importance proposal distributions of local ***, the output of every local filter can be estimated from the importance proposal distributions by particle ***, this algorithm uses the federated filter method to fuse together the outputs from local UPF(Uscented Particle Filter) filters, and the final total estimation of the SINS/CNS/GPS system can be *** this algorithm the particle filter incorporates the latest observations of local filters into a prior updating *** addition, the algorithm is not restricted by assumptions of linearity or Gaussian noise: it may be applied to any state transition or measurement ***, we apply the algorithm to maneuvering vehicles and simulation results show that the algorithm is more accurate than the federated UKF algorithm in the nonlinear and non-Gaussian models.
Abstract Analysis and safety considerations of chemical and biological processes frequently require an outer approximation of the set of all feasible steady-states. Nonlinearities, uncertain parameters, and discrete v...
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Abstract Analysis and safety considerations of chemical and biological processes frequently require an outer approximation of the set of all feasible steady-states. Nonlinearities, uncertain parameters, and discrete variables complicate the calculation of guaranteed outer bounds. In this paper, the problem of outer-approximating the region of feasible steady-states, for processes described by uncertain nonlinear differential algebraic equations including discrete variables and discrete changes in the dynamics, is adressed. The calculation of the outer bounding sets is based on a relaxed version of the corresponding feasibility problem. It uses the Lagrange dual problem to obtain certificates for regions in state space not containing steady-states. These infeasibility certificates can be computed efficiently by solving a semidefinite program, rendering the calculation of the outer bounding set computationally feasible. The derived method guarantees globally valid outer bounds for the steady-states of nonlinear processes described by differential equations. It allows to consider discrete variables, as well as switching system dynamics. The method is exemplified by the analysis of a simple chemical reactor showing parametric uncertainties and large variability due to the appearance of bifurcations characterising the ignition and extinction of a reaction.
A recursive procedure is proposed to reduce a set of inequality constraints of high relative order to single constraints of relative order one for a class of uncertain,multi-input nonlinear systems.A modification of a...
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A recursive procedure is proposed to reduce a set of inequality constraints of high relative order to single constraints of relative order one for a class of uncertain,multi-input nonlinear systems.A modification of a nominal control signal on the newly constructed constraints guarantees robust constraint *** resulting robust invariant controller is applied to the constrained flight and the obstacle avoidance problem of a VTOL helicopter.
Abstract The paper presents a moving horizon ℓ 2 control approach for the class of linear parameter-varying systems. By solving online a convex optimization problem subject to linear matrix inequality constraints the ...
Abstract The paper presents a moving horizon ℓ 2 control approach for the class of linear parameter-varying systems. By solving online a convex optimization problem subject to linear matrix inequality constraints the ℓ 2 gain from the energy bounded external disturbance to the performance output is minimized at each sampling instant. The approach guarantees satisfaction of state and input constraints and it is shown that the online recalculation of the control law improves disturbance attenuation significantly when compared to a static control law.
This paper proposes a model predictive control scheme for a class of constrained nonlinear time-delay systems with guaranteed closed-loop asymptotic *** stability of the closed-loop is guaranteed by utilizing an appro...
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This paper proposes a model predictive control scheme for a class of constrained nonlinear time-delay systems with guaranteed closed-loop asymptotic *** stability of the closed-loop is guaranteed by utilizing an appropriate terminal cost functional and an appropriate terminal region.A novel structured procedure is derived to determine the terminal cost and the terminal region *** this purpose,a combination of Lyapunov-Krasovskii and LyapunovRazumikhin arguments is used to compute a locally stabilizing *** resulting conditions are formulated in terms of linear matrix inequalities.
Gearboxes consist one of the most widely used industrial machine parts. Due to its importance, a plethora of monitoring methods and fault diagnosis procedures have been developed in order to reduce maintenance costs, ...
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ISBN:
(纸本)9781615677368
Gearboxes consist one of the most widely used industrial machine parts. Due to its importance, a plethora of monitoring methods and fault diagnosis procedures have been developed in order to reduce maintenance costs, improve productivity, and prevent malfunctions and failures during operation which could lead to downtime of machinery. Thus, it is crucial to detect accurately and on time fault symptoms. Typical faults of gears include pitting, chipping and even tooth cracking. The development of a local fault at a gear often introduces both amplitude and phase modulations at the vibration measured signals. A remarkable number of frequency based signal processing methods have been proposed for gear fault identification and detection, including Ceptrum Analysis, Hilbert Transformation, Cyclostationary Analysis, Deconvolution Filters and different Time-Frequency Analysis methods, such as wavelets. The aforementioned methods, although they present a quite effective behaviour in the detection of defects, usually require complex and sophisticated analysis and as a result there are some important obstacles in using them in an automated manner without the presence of special trained personnel Moreover, a number of traditional time domain signal processing methods have been developed, such as the root mean square of the signal, the crest factor, the kurtosis, the shape factor, the impulse factor and the recently introduced morphological analysis. Morphological Signal Processing is closely related to mathematical morphology. Its basic concept is to modify the geometrical features of a signal in the time domain in order to construct a kind of envelop. In this paper Morphological Analysis and the resulting Morphological Index is applied to a set of vibration measurements from a gearbox prior to tooth breakage. Morphological Index, as is shown at the results, seems to be able to monitor the evolution of the potential fault, providing a clear warning prior to the breakage of the t
This paper presents a computationally attractive nonlinear model predictive control approach for the class of continuous time Lure systems. The control law is obtained via the repeated solution of an efficient to solv...
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This paper presents a computationally attractive nonlinear model predictive control approach for the class of continuous time Lure systems. The control law is obtained via the repeated solution of an efficient to solve convex optimization problem based on linear matrix inequalities (LMIs). Closed-loop stability and satisfaction of input and state constraints are guaranteed by the feasibility of the LMIs at initial time. The simulation of a flexible link robotic arm shows the applicability and effectiveness of the proposed controller.
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