This paper proposes an algorithmic approach to synthesize stabilizing control laws for discrete-time piecewise affine probabilistic (PWAP) systems based on computations of probabilistic reachable sets. The considered ...
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ISBN:
(纸本)9781509007592
This paper proposes an algorithmic approach to synthesize stabilizing control laws for discrete-time piecewise affine probabilistic (PWAP) systems based on computations of probabilistic reachable sets. The considered class of systems contains probabilistic components (with Gaussian distribution) modeling additive disturbances and state initialization. The probabilistic reachable state sets contain all states that are reachable with a given confidence level under the effect of time-variant control laws. The control synthesis uses principles of the ellipsoidal calculus, and it considers that the system parametrization depends on the partition of the state space. The proposed algorithm uses LMI-constrained semi-definite programming (SDP) problems to compute stabilizing controllers, while polytopic input constraints and transitions between regions of the state space are considered. The formulation of the SDP is adopted from a previous work in [1] for switched systems, in which the switching of the continuous dynamics is triggered by a discrete input variable. Here, as opposed to [1], the switching occurs autonomously and an algorithmic procedure is suggested to synthesis a stabilizing controller. An example for illustration is included.
The design of explicit constrained control is relatively simple when a controlled contractive set is available. However, the complexity of the explicit controller will depend on the complexity of the controlled contra...
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ISBN:
(纸本)9781509007592
The design of explicit constrained control is relatively simple when a controlled contractive set is available. However, the complexity of the explicit controller will depend on the complexity of the controlled contractive set. The ability to design a low complexity controlled contractive set is therefore desirable. Most methods for finding controlled contractive sets either assume the use of a constant linear state feedback, or exploit reachable set computations. In the first case, the assumption of a constant linear state feedback is restrictive (as controllers for constrained linear systems, such as MPC, are typically piecewise affine), while in the second case the complexity of the controlled contractive set may be very high. Initial results on the construction of low complexity controlled contractive sets without assuming linear state feedback were reported in the recent literature. The present paper extends these results, including the ability to handle more general classes of system dynamics. The paper develops a method for finding a controlled contractive set of a specified complexity, allowing for a trade-off between the complexity of the set and its volume.
This paper considers the synthesis of distributed reactive control protocols for a Boolean network in a distributed manner. We start with a directed acyclic graph representing a network of Boolean subsystems and a glo...
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ISBN:
(纸本)9781509007592
This paper considers the synthesis of distributed reactive control protocols for a Boolean network in a distributed manner. We start with a directed acyclic graph representing a network of Boolean subsystems and a global contract, given as an assumption-guarantee pair. Assumption captures the environment behavior, and guarantee is the requirements to be satisfied by the system. Local assumption-guarantee contracts, together with local control protocols ensuring these local contracts, are computed recursively for each subsystem based on the partial order structure induced by the directed acyclic graph. By construction, implementing these local control protocols together guarantees the satisfaction of the global assumption-guarantee contract. Moreover, local control protocol synthesis reduces to quantified satisfiability (QSAT) problems in this setting. We also discuss structural properties of the network that affect the completeness of the proposed algorithm. As an application, we show how an aircraft electric power system can be represented as a Boolean network, and we synthesize distributed control protocols from a global assumption-guarantee contract. The assumptions capture possible failures of the system components, and the guarantees capture safety requirements related to power distribution.
This paper is concerned with the problem of H-2 dynamic output feedback control for discrete-time Markov jump linear systems (MJLS) whose transition probability matrix is affected by uncertainties. A two step procedur...
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ISBN:
(纸本)9781509007592
This paper is concerned with the problem of H-2 dynamic output feedback control for discrete-time Markov jump linear systems (MJLS) whose transition probability matrix is affected by uncertainties. A two step procedure based on linear matrix inequality (LMI) conditions is used to solve the problem. In the first step, a stabilizing parameter-dependent state feedback gain is computed. The gain, not implementable, is used as an input in the second step, where sufficient LMI conditions provide an H-2 guaranteed cost dynamic output feedback controller for the MJLS. Reduced order and mode-independent controllers can be readily obtained from the conditions, due to the fact that the matrices of the controller realization are constructed only in terms of decision variables. As illustrated by an example, less conservative controllers with more accurate estimates of the H-2 norm bound can be obtained through the proposed methodology. Moreover, lower H-2 bounds can be guaranteed at the price of searching for a scalar parameter and increasing the degrees of the polynomial decision variables involved in the optimization process.
In this paper we present a method to simultaneously design a static state feedback gain and the trigger function to stabilize discrete-time LTI systems subject to actuator saturation under an event-triggered strategy....
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Hardware-in-the-Loop (HIL) and Rapid control Prototyping (RPC) are extensively used techniques for the design of controlsystems. Matlab-based commercial tools for HIL and RPC usually are not cost-effective for most u...
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A new MATLAB based software package which, besides analysis, can be used to design centralized or decentralized controllers to stabilize time-delay systems is introduced.
A new MATLAB based software package which, besides analysis, can be used to design centralized or decentralized controllers to stabilize time-delay systems is introduced.
In this paper we introduce an algorithm for the synthesis of polynomial Lyapunov functions for polynomial vector fields. The Lyapunov function is a continuous piecewise-polynomial defined on simplices, which compose a...
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In this paper we introduce an algorithm for the synthesis of polynomial Lyapunov functions for polynomial vector fields. The Lyapunov function is a continuous piecewise-polynomial defined on simplices, which compose a collection of simplices. The algorithm is elaborated and crucial features are explained in detail. The strengths and weaknesses of the algorithm are exemplified and a new way of sub-dividing the simplices is presented.
This paper addresses the computation of additively separable Lyapunov functions for interconnected systems. The presented results can be applied to reduce the complexity of the computations associated with stability a...
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This paper addresses the computation of additively separable Lyapunov functions for interconnected systems. The presented results can be applied to reduce the complexity of the computations associated with stability analysis of large scale systems. We provide a necessary and sufficient condition for the existence of an additively separable Lyapunov function; subsequently, sparsity conditions are given for finding additively separable polynomial Lyapunov functions for both local and global stability of polynomial systems.
This paper focus on stochastic controldesign in the Kullback-Leibler sense. The technique is called the Fully Probabilistic design (FPD) and consist in essence of finding a stochastic control law, given in terms of a...
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This paper focus on stochastic controldesign in the Kullback-Leibler sense. The technique is called the Fully Probabilistic design (FPD) and consist in essence of finding a stochastic control law, given in terms of a probability density function (pdf), minimizing the Kullback-Liebler distance between pdfs describing a given closed loop system and a desired closed loop system. This paper demonstrate that the FPD method can 1) be used in a Model Predictive control strategy, and 2) be used for control of the pneumatic valve which represents a nonlinear system.
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