The key idea of this contribution is the partial compensation non-minimum phase zeros or unstable poles. Therefore integer-order zero/pole split into a product fractional-order pseudo zeros/poles. amplitude and response these terms derived to include compensators loop-shaping design. Such can be generalized conjugate complex zeros/poles, also implicit applied. In case zero, its leads higher mar...

We investigate partial order reduction for model checking multiagent systems by focusing on interleaved interpreted systems. These are a particular class of interpreted systems, a mainstream MAS formalism, in which only one action at the time is performed. We present a notion of stuttering-equivalence, and prove the semantical equivalence of stuttering-equivalent traces with respect to linear a...

In this paper we explore partial order reduction that make the task of verifying cryptographic protocols more efficient. These reduction techniques have been implemented in our tool BRUTUS. Although we have implemented several reduction techniques in our tool BRUTUS, due to space restrictions in this paper we only focus on partial order reductions. Partial order reductions have proved very usef...

Explicit-state model checking tools often incorporate partial-order reductions to reduce the number of system states explored (and thus the time and memory required) for verification. As model checking techniques are scaled up to software systems, it is important to develop and assess partial-order reduction strategies that are effective for addressing the complex structures found in software a...

2 Separation of variables and the complete integral 5 2.1 Separation of variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 The envelope of a family of curves . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.3 The complete integral . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.4 Determining the characteristic strips from t...

In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-tasking actions. We go further and show how a problem can be automatically decomposed into a partial-order task-hierarchy, and solved using hierarchical reinforcement learning. The problem structure determines the reduc...

We present a partial-order probabilistic planning algorithm that adapts plan-graph based heuristics implemented in Repop. We describe our implemented planner, Reburidan, named after its predecessors Repop and Buridan. Reburidan uses plan-graph based heuristics to first generate a base plan. It then improves this plan using plan refinement heuristics based on the success probability of subgoals....

OF THE THESIS Partial Order Reduction for Planning by You Xu Master of Science in Computer Science Washington University in St. Louis, 2009 Research Advisor: Professor Yixin Chen Partial Order Reduction (POR) is a technique that reduces the search space by recognizing interchangeable orders between actions and expanding only a subset of all possible orders during the search. It has been extensi...