Motivated by the increasing needs in the process industry for designing fault tolerant feedback controlsystems based on process data, data-driven design of feedback controlsystems with embedded residual generation i...
详细信息
ISBN:
(纸本)9781612848006
Motivated by the increasing needs in the process industry for designing fault tolerant feedback controlsystems based on process data, data-driven design of feedback controlsystems with embedded residual generation is addressed. For this purpose, an extended internal model control (EIMC) structure aiming at accessing the residuals embedded in control loop is first proposed. Based on the identification of the so-called parity subspace and a well-established mapping between the parity vector and the solution of the Luenberger equations, a direct design scheme of EIMC from process data is developed. The achieved results are illustrated by an academic example.
This paper presents a reinforcement learning algorithm and provides conditions for global convergence to Nash equilibria. For several reinforcement learning schemes, including the ones proposed here, excluding converg...
详细信息
ISBN:
(纸本)9781612848006
This paper presents a reinforcement learning algorithm and provides conditions for global convergence to Nash equilibria. For several reinforcement learning schemes, including the ones proposed here, excluding convergence to action profiles which are not Nash equilibria may not be trivial, unless the step-size sequence is appropriately tailored to the specifics of the game. In this paper, we sidestep these issues by introducing a new class of reinforcement learning schemes where the strategy of each agent is perturbed by a state-dependent perturbation function. Contrary to prior work on equilibrium selection in games, where perturbation functions are globally state dependent, the perturbation function here is assumed to be local, i.e., it only depends on the strategy of each agent. We provide conditions under which the strategies of the agents will converge to an arbitrarily small neighborhood of the set of Nash equilibria almost surely. We further specialize the results to a class of potential games.
Motivated by the power-grid-side challenges in the integration of electric vehicles, we propose a decentralized protocol for negotiating day-ahead charging schedules for electric vehicles. The overall goal is to shift...
详细信息
ISBN:
(纸本)9781612848006
Motivated by the power-grid-side challenges in the integration of electric vehicles, we propose a decentralized protocol for negotiating day-ahead charging schedules for electric vehicles. The overall goal is to shift the load due to electric vehicles to fill the overnight electricity demand valley. In each iteration of the proposed protocol, electric vehicles choose their own charging profiles for the following day according to the price profile broadcast by the utility, and the utility updates the price profile to guide their behavior. This protocol is guaranteed to converge, irrespective of the specifications (e.g., maximum charging rate and deadline) of electric vehicles. At convergence, the l_(2) norm of the aggregated demand is minimized, and the aggregated demand profile is as "flat" as it can possibly be. The proposed protocol needs no coordination among the electric vehicles, hence requires low communication and computation capability. Simulation results demonstrate convergence to optimal collections of charging profiles within few iterations.
Abstract In this paper a new identification method for non-linear hybrid systems that have mixed continuous and discrete states by using fuzzy clustering and principal component analysis is described. The method first...
详细信息
Abstract In this paper a new identification method for non-linear hybrid systems that have mixed continuous and discrete states by using fuzzy clustering and principal component analysis is described. The method first determines the hybrid characteristic of the system inspired by an inverse form of the merge method for clusters, which makes it possible to identify the unknown switching points of a process based on just input-output data. Using the switching points, a hard partition of the input-output space is obtained. Then, we propose to use Takagi-Sugeno (TS) fuzzy models with Gaussian MFs as sub-models for each partition. Thus, the overall model is hybrid-fuzzy and will include explicitly the hybrid behavior of the system (the detected switching points) by means of binary MFs, and in each partition all the other non-linearities by means of TS sub-models. An illustrative experiment on a hybrid-tank system is conducted to present the benefits of the proposed approach.
In this paper we propose a novel distributed algorithm to solve degenerate linear programs on asynchronous networks. Namely, we propose a distributed version of the well known simplex algorithm. We prove its convergen...
详细信息
In this paper we propose a novel distributed algorithm to solve degenerate linear programs on asynchronous networks. Namely, we propose a distributed version of the well known simplex algorithm. We prove its convergence to the global lexicographic minimum for possibly fully degenerate problems and provide simulations supporting the conjecture that the completion time scales linearly with the diameter of the graph. The algorithm can be interpreted as a dual version of the constraints consensus algorithm proposed in [1] to solve abstract programs when the last is applied to linear programs. Finally, we study a multi-agent task assignment problem and show that it can be solved by means of our distributed simplex algorithm.
We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.
ISBN:
(纸本)9781612848006
We give a simple, explicit example of a two-dimensional polynomial vector field that is globally asymptotically stable but does not admit a polynomial Lyapunov function.
This paper deals with the design of a high order sliding mode observer for a class of nonlinear systems that can be described in the São called triangular input observer form. The mathematical tools required to m...
详细信息
Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robu...
详细信息
ISBN:
(纸本)9781457700811
Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter.
This paper presents methodology of defining the sources of interferences on the basis of measuring the quality of electrical energy and monitoring the selected parameters of voltage and current waveforms. The presente...
详细信息
This paper presents methodology of defining the sources of interferences on the basis of measuring the quality of electrical energy and monitoring the selected parameters of voltage and current waveforms. The presented methodology was based on the example of industrial power network that supplied the new electroprecipitator cooperating with sulphuric acid recovery installation. After a few weeks of proper operation, the Ż electroprecipitator started to report frequent alarms that hindered its effective use. The measurements aimed at specifying the effect of the quality of electrical energy and disturbances occurring in the network on the alarms generated by the electroprecipitator automaticcontrol system. The example shows that as a result of use sophisticated measuring equipment and the analysis of preliminary (short-term) measurements and long-term measurements with the appropriate setting of recording events, it is possible to confirm or reject the hypothesis about the negative effect of low quality energy on the electroprecipitator operation.
This paper discusses energy harvesting techniques suitable for use with wireless remote condition monitoring, especially in the context of fixed asset monitoring. Different commercially available off-the-shelf technol...
详细信息
ISBN:
(纸本)9781849195584
This paper discusses energy harvesting techniques suitable for use with wireless remote condition monitoring, especially in the context of fixed asset monitoring. Different commercially available off-the-shelf technologies for energy harvesting are discussed, together with power management technologies and a discussion on system operation. The potential benefits of retrofitting energy harvesting to a battery powered wireless remote condition monitoring system is also presented.
暂无评论