The Artificial Fish-swarm Algorithm (AFA) is an intelligent population-based optimization algorithm inspired by the behaviors of fish swarm. Unfortunately, it sometimes fails to maintain an appropriate balance between...
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Homogeneous-in-the-state bilinear systems, appended by an additive disturbance, appear both from the discretization of some partial differential equations and from the bilinearization of certain nonlinear systems. The...
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Based on the assumption that the parameter can be measured in real time, we propose a model predictive control (MPC) method for linear-parameter varying (LPV) systems subject to possibly asymmetric constraints which a...
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Based on the assumption that the parameter can be measured in real time, we propose a model predictive control (MPC) method for linear-parameter varying (LPV) systems subject to possibly asymmetric constraints which adopts the analogous framework of terminal control law, terminal set and terminal penalty of nonlinear model predictive control. The optimization problem is formulated as a convex optimization problem and, recursive feasibility and closed-loop stability are guaranteed by its feasibility at initial time. For LPV systems with symmetric constraints, we reformulate the convex optimization problem as a semi-definite program. Numerical examples demonstrate the properties of the proposed MPC design.
The Acrobot is the simplest walking like underactuated system which at the same time comprises all typical difficulties of the underactuated walking. In particular, efficient algorithms for the Acrobot walking may be ...
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This paper provides the algorithm how to exponentially track any trajectory of the Acrobot based on the knowledge of two position variables only. Namely, it aims to design a special reduced observer for the Acrobot an...
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To control actuators with elasticities and friction a better comprehension of the appropriate nonlinear dynamic is required. In this paper we propose a simple dynamic model of actuator subject to the nonlinear frictio...
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To control actuators with elasticities and friction a better comprehension of the appropriate nonlinear dynamic is required. In this paper we propose a simple dynamic model of actuator subject to the nonlinear friction and elasticities combined with the structural damping. The last ones give rise to a hysteretic restoring force (torque) which conjointly with friction provides the second order oscillation system with memory. The derived model is experimentally evaluated on the high precision positioning system used for an optical equipment.
In paper [8], author has proved that the characteristic roots of A are zeros or unequal non-constants. It is well-known that the independent all-capacitor cut-set and the all-inductor loop would lead the electrical ne...
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ISBN:
(纸本)9781424476534
In paper [8], author has proved that the characteristic roots of A are zeros or unequal non-constants. It is well-known that the independent all-capacitor cut-set and the all-inductor loop would lead the electrical network to have zero eigenvalues. But, how to find out the number of the “independent” all-capacitor cut-sets and the all-inductor loops in a network, obviously if the network is complex, is a hard work. It cannot be done artificially. If we use computer to do it, we need a good algorithm. The paper would give an algorithm on how to find them. and it will help us to research these special structures affect the controllability and observability of electrical network. Both are the reasons why we study this algorithm. In this paper, author expatiates on it and uses an example to show the process in detail.
This paper proposes a novel approach to stability analysis and controller synthesis for discrete-time periodically time-varying systems. Firstly, a relaxation of standard Lya-punov conditions is derived. This leads to...
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ISBN:
(纸本)9781424477456
This paper proposes a novel approach to stability analysis and controller synthesis for discrete-time periodically time-varying systems. Firstly, a relaxation of standard Lya-punov conditions is derived. This leads to a less conservative Lyapunov function that is required to decrease at every period, rather than at each time instant. Secondly, several solutions for synthesizing such periodic control Lyapunov functions are presented. These solutions make use of on-line optimization and can be formulated as a semi-definite program for constrained linear periodic systems. An example illustrates the effectiveness of the developed method.
This paper proposes a robust model predictive control scheme for nonlinear systems with state and input constraints and unknown but bounded disturbances. A standard nominal model predictive control problem with tighte...
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ISBN:
(纸本)9781424474264
This paper proposes a robust model predictive control scheme for nonlinear systems with state and input constraints and unknown but bounded disturbances. A standard nominal model predictive control problem with tightened constraints is solved online, and its solution defines the nominal trajectory. An ancillary control law is determined off-line which keeps the trajectories of the error system in a disturbance invariant set. Thus, the evolution of original nonlinear system lies in the disturbance invariant set centered along the nominal trajectory. Furthermore, it is shown that both feasibility and stability of the closed-loop system are guaranteed if the standard nominal optimization problem is initially feasible.
This paper studies the problem of stabilization of discrete-time linear systems with input time-delay and actuator saturation. By exploring some further intricate properties of a recently developed parametric Lyapunov...
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ISBN:
(纸本)9787894631046
This paper studies the problem of stabilization of discrete-time linear systems with input time-delay and actuator saturation. By exploring some further intricate properties of a recently developed parametric Lyapunov equation based low gain feedback design approach, an alternative approach is proposed to solving the problem by both state feedback and output feedback. This new approach is not only simpler than the methods that are based on the eigenstructure assignment technique, but also provides explicit conditions on value of the low gain parameter to guarantee the stability of the closed-loop system. Furthermore, the delay in the input is allowed to be time-varying in some cases.
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